Google Health रिसर्च पब्लिकेशन
अपने काम को प्रकाशित करके, हम हेल्थकेयर में सुधार करने के लिए कई तरह के विचार शेयर कर पाते हैं और सबके साथ मिलकर काम कर पाते हैं. यहां हमारे पब्लिकेशन और काम के ब्लॉग पोस्ट देखें.
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ब्लॉग पोस्ट [ज़्यादा जानकारी के लिए, Google Keyword ब्लॉग और Google Research ब्लॉग पर जाएं]
Google’s vision for a healthier futureby Karen DeSalvo
Google Keyword Blog | 1-Nov-2024
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ब्लॉग पोस्ट
How gen AI can help doctors and nurses ease their administrative workloadsby Aashima Gupta
Google Keyword Blog | 17-Oct-2024
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ब्लॉग पोस्ट
AI startups revolutionizing mental health careby Karen DeSalvo
Google Keyword Blog | 10-Oct-2024
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ब्लॉग पोस्ट
Supporting India’s digital health transformationby Bakul Patel
Google Keyword Blog | 3-Oct-2024
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ब्लॉग पोस्ट
4 principles to guide AI in supporting mental healthby Megan Jones Bell
Google Keyword Blog | 8-Aug-2024
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ब्लॉग पोस्ट
Google Research at Google I/O 2024by Yossi Matias & James Manyika
Google Research Blog | 24-May-2024
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ब्लॉग पोस्ट
How 7 businesses are putting Google Cloud’s AI innovations to workby Carrie Tharp
Google Keyword Blog | 4-Apr-2024
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ब्लॉग पोस्ट
How we’re using AI to connect people to health informationby Karen DeSalvo
Google Keyword Blog | 19-Mar-2024
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ब्लॉग पोस्ट
How AI is helping advance women’s health around the worldby Ronit Levavi Morad & Preeti Singh
Google Keyword Blog | 8-Mar-2024
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ब्लॉग पोस्ट
A new commitment to digital wellbeing for kids and teensby Karen DeSalvo
Google Keyword Blog | 6-Feb-2024
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ब्लॉग पोस्ट
3 predictions for AI in healthcare in 2024by Aashima Gupta
Google Keyword Blog | 9-Jan-2024
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ब्लॉग पोस्ट
2023: A year of groundbreaking advances in AI and computingby Jeff Dean, James Manyika, & Demis Hassabis
Google Research Blog | 22-Dec-2023
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ब्लॉग पोस्ट
23 of our biggest moments in 2023by Molly McHugh-Johnson
Google Keyword Blog | 20-Dec-2023
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ब्लॉग पोस्ट
4 ways we think about health equity and AIby Ivor Horn
Google Keyword Blog | 2-Nov-2023
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ब्लॉग पोस्ट
5 ways Google is accelerating Health AI innovation in Africaby Yossi Mattia Shravya Shetty
Google Keyword Blog | 31-Oct-2023
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ब्लॉग पोस्ट
How we’re using AI to help transform healthcareby Yossi Mattias
Google Keyword Blog | 23-Oct-2023
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ब्लॉग पोस्ट
A new collaboration to improve nutrition informationby Nira Goren
Google Keyword Blog | 18-Oct-2023
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ब्लॉग पोस्ट
HLTH 2023: Bringing AI to health responsiblyby Michaell Howell
Google Keyword Blog | 9-Oct-2023
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ब्लॉग पोस्ट
How AI can improve health for everyone, everywhereby Karen DeSalvo
Google Keyword Blog | 3-Oct-2023
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ब्लॉग पोस्ट
7 ways Google Health is improving outcomes in Asia Pacificby Karen DeSalvo
Google Keyword Blog | 18-Jul-2023
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ब्लॉग पोस्ट [más en Blog The Keyword de Google & Blog de Google AI]
Looking to the next 75 years of the NHSby Susan Thomas
Google Keyword Blog | 5-Jul-2023
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ब्लॉग पोस्ट
New research from the UK focused on technology’s role in healthcareby Susan Thomas
Google Keyword Blog | 13-Jun-2023
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ब्लॉग पोस्ट
Our collaboration with WHO to improve public healthby Karen DeSalvo
Google Keyword Blog | 23-May-2023
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ब्लॉग पोस्ट
Partnering with startups using AI to improve healthcareby Karen DeSalvo
Google Keyword Blog | 22-May-2023
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ब्लॉग पोस्ट
More mental health resources for the moments you need themby Megan Jones Bell
Google Keyword Blog | 15-May-2023
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ब्लॉग पोस्ट
3 ways Google products can help you feel less stressedby Megan Jones Bell
Google Keyword Blog | 13-Apr-2023
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ब्लॉग पोस्ट
New ways we’re helping people live healthier livesby Karen DeSalvo
Google Keyword Blog | 14-Mar-2023
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ब्लॉग पोस्ट
Our latest health AI research updatesby Greg Corrado & Yossi Matias
Google Keyword Blog | 14-Mar-2023
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ब्लॉग पोस्ट
Google Research, 2022 & beyond: Healthby Greg Corrado & Yossi Matias
Google Research Blog | 23-Feb-2023
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ब्लॉग पोस्ट
Meet our Health Equity Research Initiative awardeesby Ivor Horn
Google Keyword Blog | 26-Jan-2023
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ब्लॉग पोस्ट
7 ways Google is using AI to help solve society's challengesby Katie Malczyk
Google Keyword Blog | 17-Jan-2023
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ब्लॉग पोस्ट
3 ways to take better care of your mind and body in 2023by Megan Jones Bell
Google Keyword Blog | 5-Jan-2023
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ब्लॉग पोस्ट
8 things we launched in 2022 to support your healthby Iz Conroy
Google Keyword Blog | 21-Dec-2022
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ब्लॉग पोस्ट
How to use Google Search to help manage uncertain timesby Hema Budaraju
Google Keyword Blog | 14-Dec-2022
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ब्लॉग पोस्ट
Unlocking the potential of technology to support healthby Karen DeSalvo
Google Keyword Blog | 15-Nov-2022
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ब्लॉग पोस्ट
Healthy collaboration: Why partnerships are the heart of healthcare innovationby Aashima Gupta
Google Cloud Blog | 14-Nov-2022
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ब्लॉग पोस्ट
3 ways AI is scaling helpful technologies worldwideby Jeff Dean
Google Keyword Blog | 2-Nov-2022
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ब्लॉग पोस्ट
Democratizing access to healthby Karen DeSalvo
Google Keyword Blog | 27-Oct-2022
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ब्लॉग पोस्ट
Google Assistant offers information and hope for Breast Cancer Awareness Monthby Riva Sciuto
Google Keyword Blog | 19-Oct-2022
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ब्लॉग पोस्ट
Our work toward health equityby Ivor Horn
Google Keyword Blog | 12-Sep-2022
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ब्लॉग पोस्ट
Dr. Von Nguyen’s temperature check on public healthby Lauren Winer
Google Keyword Blog | 25-Aug-2022
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ब्लॉग पोस्ट
Suicide prevention resources on Google Searchby Anne Merritt
Google Keyword Blog | 20-Jul-2022
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ब्लॉग पोस्ट
Mental health resources you can count onby Megan Jones Bell
Google Keyword Blog | 17-May-2022
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ब्लॉग पोस्ट
Raising awareness of the dangers of fentanylby Megan Jones Bell & Garth Graham
Google Keyword Blog | 10-May-2022
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ब्लॉग पोस्ट
The Check Up: helping people live healthier livesby Karen DeSalvo
Google Keyword Blog | 24-Mar-2022
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ब्लॉग पोस्ट
The Check Up: our latest health AI developmentsby Greg Corrado
Google Research Blog | 24-Mar-2022
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ब्लॉग पोस्ट
Extending Care Studio with a new healthcare partnershipby Paul Muret
Google Keyword Blog | 15-Mar-2022
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ब्लॉग पोस्ट
Take a look at Conditions, our new feature in Care Studioby Paul Muret
Google Keyword Blog | 8-Mar-2022
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ब्लॉग पोस्ट
Google Research: Themes from 2021 and Beyondby Jeff Dean
Google Research Blog | 11-Jan-2022
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ब्लॉग पोस्ट
Making healthcare options more accessible on Searchby Hema Budaraju
Google Keyword Blog | 2-Dec-2021
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ब्लॉग पोस्ट
HLTH: Building on our commitments in healthby Karen DeSalvo
Google Keyword Blog | 17-Oct-2021
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ब्लॉग पोस्ट
When it comes to mental health, what are we searching for?by Alicia Cormie
Google Keyword Blog | 6-May-2021
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ब्लॉग पोस्ट
Dr. Ivor Horn talks about technology and health equityby Alicia Cormie
Google Keyword Blog | 16-Apr-2021
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ब्लॉग पोस्ट
Our Care Studio pilot is expanding to more cliniciansby Paul Muret
Google Keyword Blog | 23- Feb-2021
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ब्लॉग पोस्ट
Google Research: Looking Back at 2020, and Forward to 2021by Jeff Dean
Google Research Blog | 12-Jan-2021
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ब्लॉग पोस्ट
A new Google Search tool to support women with postpartum depressionby David Feinberg
LinkedIn Blog | 8-Dec-2020
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ब्लॉग पोस्ट
Prepare for medical visits with help from Google and AHRQby Dave Greenwood
Google Keyword Blog | 2-Dec-2020
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ब्लॉग पोस्ट
A Collaborative Approach to Shaping Successful UX Critique Practicesby Anna Lurchenko
Google Design Blog | 29-Jul-2020
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ब्लॉग पोस्ट
Learn more about anxiety with a self-assessment on Searchby Daniel Gillison, Jr
Google Keyword Blog | 28-May-2020
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ब्लॉग पोस्ट
Google Research: Looking Back at 2019, and Forward to 2020 and Beyondby Jeff Dean
Google Research Blog | 9-Jan-2020
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ब्लॉग पोस्ट
Lessons Learned from Developing ML for Healthcareby Yun Liu & Po-Hsuan Cameron Chen
Google Research Blog | 10-Dec-2019
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ब्लॉग पोस्ट
Tools to help healthcare providers deliver better careby David Feinberg
Google Keyword Blog | 20-Nov-2019
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ब्लॉग पोस्ट
Breast cancer and tech...a reason for optimismby Ruth Porat
Google Keyword Blog | 21-Oct-2019
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ब्लॉग पोस्ट
DeepMind’s health team joins Google Healthby Dominic King
Google Keyword Blog | 18-Sep-2019
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ब्लॉग पोस्ट
Looking Back at Google’s Research Efforts in 2018by Jeff Dean
Google Research Blog | 15-Jan-2019
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ब्लॉग पोस्ट
Meet David Feinberg, head of Google Healthby Google
Google Keyword Blog | 17-Jun-2019
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ब्लॉग पोस्ट
AI for Social Good in Asia Pacificby Kent Walter
Google Keyword Blog | 13-Dec-2018
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ब्लॉग पोस्ट
The Google Brain Team — Looking Back on 2017 (Part 2 of 2)by Jeff Dean
Google Research Blog | 12-Jan-2018
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ब्लॉग पोस्ट
Gain a deeper understanding of Posttraumatic Stress Disorder on Googleby Paula Schnurr & Teri Brister
Google Keyword Blog | 5-Dec-2017
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ब्लॉग पोस्ट
Learning more about clinical depression with the PHQ-9 questionnaireby Mary Giliberti
Google Keyword Blog | 23-Aug-2017
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ब्लॉग पोस्ट
Partnering on machine learning in healthcareby Katherine Chou
Google Research Blog | 17-May-2017
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ब्लॉग पोस्ट
The Google Brain Team — Looking Back on 2016by Jeff Dean
Google Research Blog | 12-Jan-2017
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कोविड-19 ब्लॉग पोस्ट
Supporting evolving COVID information needsby Hema Budaraju
Google Keyword Blog | 16-Jun-2022
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कोविड-19 ब्लॉग पोस्ट [más en Blog The Keyword de Google]
Group effort: How we helped launch an NYC vaccine siteby Lauren Gallagher
Google Keyword Blog | 11-Feb-2022
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कोविड-19 ब्लॉग पोस्ट [más en Blog The Keyword de Google]
This year, we searched for ways to stay healthyby Hema Budaraju
Google Keyword Blog | 8-Dec-2021
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कोविड-19 ब्लॉग पोस्ट
New tools to support vaccine access and distributionby Tomer Shekel
Google Keyword Blog | 9-Jun-2021
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कोविड-19 ब्लॉग पोस्ट
An update on our COVID response prioritiesby the COVID Response team, Google India
Google India Blog | 10-May-2021
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कोविड-19 ब्लॉग पोस्ट
Our commitment to COVID-19 vaccine equityby Karen DeSalvo
Google Keyword Blog | 15-Apr-2021[Spanish version]
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कोविड-19 ब्लॉग पोस्ट
How anonymized data helps fight against diseaseby Stephen Ratcliffe
Google Keyword Blog | 24-Feb-2021
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कोविड-19 ब्लॉग पोस्ट
How we’re helping get vaccines to more peopleby Sundar Pichai
Google Keyword Blog | 25-Jan-2021
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कोविड-19 ब्लॉग पोस्ट
Exposure Notifications: end of year updateby Steph Hannon
Google Keyword Blog | 11-Dec-2020
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कोविड-19 ब्लॉग पोस्ट
How you'll find accurate and timely information on COVID-19 vaccinesby Karen DeSalvo & Kristie Canegallo
Google Keyword Blog | 10-Dec-2020
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कोविड-19 ब्लॉग पोस्ट
How I’m giving thanks (and staying safe) this Thanksgivingby Karen DeSalvo
Google Keyword Blog | 24-Nov-2020 [Spanish version]
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कोविड-19 ब्लॉग पोस्ट
A Q&A on coronavirus vaccinesGoogle Keyword Blog
10-Nov-2020
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कोविड-19 ब्लॉग पोस्ट
An update on our efforts to help Americans navigate COVID-19by Ruth Porat
Google Keyword Blog | 27-Oct-2020
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कोविड-19 ब्लॉग पोस्ट
Making data useful for public healthby Katherine Chou
Google Keyword Blog | 17-Sept-2020
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कोविड-19 ब्लॉग पोस्ट
Google supports COVID-19 AI and data analytics projectsby Mollie Javerbaum & Meghan Houghton
Google Keyword Blog | 10-Sep-2020
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कोविड-19 ब्लॉग पोस्ट
Using symptoms search trends to inform COVID-19 researchby Evgeniy Gabrilovich
Google Keyword Blog | 2-Sep-2020
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कोविड-19 ब्लॉग पोस्ट
An update on Exposure Notificationsby Dave Burke
Google Keyword Blog | 31-Jul-2020
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कोविड-19 ब्लॉग पोस्ट
Exposure Notification API launches to support public health agenciesby Apple & Google
Google Keyword Blog | 20-May-2020
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कोविड-19 ब्लॉग पोस्ट
Dr. Karen DeSalvo on ‘putting information first’ during COVID-19by Megan Washam
Google Keyword Blog | 13-May-2020
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कोविड-19 ब्लॉग पोस्ट
Resources for mental health support during COVID-19by David Feinberg
Google Keyword Blog | 8-May-2020
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कोविड-19 ब्लॉग पोस्ट
Helping you avoid COVID-19 online security risksGoogle Africa Blog
Google Africa Blog | 23-Apr-2020
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कोविड-19 ब्लॉग पोस्ट
Apple and Google partner on COVID-19 contact tracing technologyby Apple & Google
Google Keyword Blog | 10-Apr-2020
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कोविड-19 ब्लॉग पोस्ट
Connecting people to virtual care optionsby Julie Black
Google Keyword Blog | 10-Apr-2020
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कोविड-19 ब्लॉग पोस्ट
Support for public health workers fighting COVID-19by Karen DeSalvo
Google Keyword Blog | 6-Apr-2020
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कोविड-19 ब्लॉग पोस्ट
Helping public health officials combat COVID-19by Jen Fitzpatrick & Karen DeSalvo
Google Keyword Blog | 3-Apr-2020
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कोविड-19 ब्लॉग पोस्ट
Connecting people with COVID-19 information and resourcesby Emily Moxley
Google Keyword Blog | 21-Mar-2020
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कोविड-19 ब्लॉग पोस्ट
COVID-19: How we’re continuing to helpby Sundar Pichai
Google Keyword Blog | 15-Mar-2020
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कोविड-19 ब्लॉग पोस्ट
Coronavirus: How we’re helpingby Sundar Pichai
Google Keyword Blog | 6-Mar-2020
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रिव्यु
Safety principles for medical summarization using generative AIObika, D., Kelly, C., Ding, N., Farrance, C., Krause, J., Mittal, P., Cheung, D., Cole-Lewis, H., Elish, M., Karthikesalingam, A., Webster, D., Patel, B. & Howell, M.
Nat. Med. 1–3 (2024). [readcube]
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रिव्यु
A multiparty collaboration to engage diverse populations in community-centered artificial intelligence researchDevon-Sand, A., Sayres, R., Liu, Y., Strachan, P., Smith, M. A., Nguyen, T., Ko, J. M. & Lin, S.
Mayo Clinic Proceedings: Digital Health 2, 463–469 (2024).
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रिव्यु
The Opportunities and Risks of Large Language Models in Mental HealthLawrence, H. R., Schneider, R. A., Rubin, S. B.,Matarić, M. J., McDuff, D. J. & Jones Bell, M.
JMIR Ment Health 11, e59479 (2024).
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रिव्यु
The Regulation of Clinical Artificial IntelligenceBlumenthal David & Patel Bakul.
NEJM AI 1, AIpc2400545 (2024).
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रिव्यु
Generative artificial intelligence, patient safety and healthcare quality: a reviewHowell, M. D.
BMJ Qual. Saf. (2024).
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रिव्यु
AI in Action: Accelerating Progress Towards the Sustainable Development GoalsGosselink, B. H., Brandt, K., Croak, M., DeSalvo, K., Gomes, B., Ibrahim, L., Johnson, M., Matias, Y., Porat, R., Walker, K. & Manyika, J.
arXiv [cs.CY] (2024).
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रिव्यु
Transforming Public Health Practice With Generative Artificial IntelligenceBharel, M., Auerbach, J., Nguyen, V. & DeSalvo, K. B.
Health Aff. 43, 776–782 (2024).
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रिव्यु
Information is a determinant of healthGraham, G., Goren, N., Sounderajah, V. & DeSalvo, K.
Nat. Med. (2024).[readcube]
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रिव्यु
An intentional approach to managing bias in general purpose embedding modelsWeng, W.-H., Sellergen, A., Kiraly, A. P., D’Amour, A., Park, J., Pilgrim, R., Pfohl, S., Lau, C., Natarajan, V., Azizi, S., Karthikesalingam, A., Cole-Lewis, H., Matias, Y., Corrado, G. S., Webster, D. R., Shetty, S., Prabhakara, S., Eswaran, K., Celi, L. A. G. & Liu, Y.
The Lancet Digital Health 6, e126–e130 (2024).
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रिव्यु
Three Epochs of Artificial Intelligence in Health CareHowell M., Corrado G., DeSalvo K.
JAMA. 331(3):242–244 (2024).
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रिव्यु
Artificial intelligence in healthcare: a perspective from GoogleLehmann, L. S., Natarajan, V. & Peng, L. Chapter 39
(ed. Krittanawong, C.) Artificial Intelligence in Clinical Practice. 341–344 (Academic Press, 2024).
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रिव्यु
Explaining counterfactual imagesLang, O., Traynis, I. & Liu, Y.
Nat Biomed Eng (2023).[readcube]
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रिव्यु
Beyond Predictions: Explainability and Learning from Machine LearningDeng, C.-Y., Mitani, A., Chen, C. W., Peng, L. H., Hammel, N. & Liu, Y
(eds. Yogesan, K., Goldschmidt, L., Cuadros, J. & Ricur, G.) 199–218. Springer International Publishing, 2023.[readcube]
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रिव्यु
Deep Learning for Epidemiologists: An introduction to neural networks.Serghiou, S. & Rough, K.
Am. J. Epidemiol. (2023).
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रिव्यु
Building a Clinical Team in a Large Technology Company.DeSalvo Karen B. & Howell Michael D.
NEJM Catalyst non-issue commentary (2023).
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रिव्यु
Medicine’s Role in Reimagining Public Health: Reuniting Panacea and HygeiaDeSalvo, K. B., Kadakia, K. T. & Chokshi, D. A.
JAMA Health Forum 2, e214051–e214051 (2021).
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रिव्यु
Modernizing Public Health Data Systems: Lessons From the Health Information Technology for Economic and Clinical Health (HITECH) ActKadakia, K. T., Howell, M. D. & DeSalvo, K. B.
JAMA 326, 385–386 (2021).
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रिव्यु
Public Health 3.0 After COVID-19-Reboot or Upgrade?DeSalvo, K. B. & Kadakia, K. T.
Am. J. Public Health 111, S179–S181 (2021).
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रिव्यु
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AISounderajah, V., Ashrafian, H., Rose, S., Shah, N. H., Ghassemi, M., Golub, R., Kahn, C. E., Jr, Esteva, A., Karthikesalingam, A., Mateen, B., Webster, D., Milea, D., Ting, D., Treanor, D., Cushnan, D., King, D., McPherson, D., Glocker, B., Greaves, F., Harling, L., Ordish, J., Cohen, J. F., Deeks, J., Leeflang, M., Diamond, M., McInnes, M. D. F., McCradden, M., Abràmoff, M. D., Normahani, P., Markar, S. R., Chang, S., Liu, X., Mallett, S., Shetty, S., Denniston, A., Collins, G. S., Moher, D., Whiting, P., Bossuyt, P. M. & Darzi, A.
Nat. Med. (2021).
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रिव्यु
Evaluation of artificial intelligence on a reference standard based on subjective interpretationChen, P.-H. C., Mermel, C. H. & Liu, Y.
The Lancet Digital Health (2021). doi:10.1016/S2589-7500(21)00216-8
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रिव्यु
Artificial Intelligence in MedicineKelly, C. J., Brown, A. P. Y. & Taylor, J. A.
(eds. Lidströmer, N. & Ashrafian, H.) 1–18 (Springer International Publishing, 2021).
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रिव्यु
Challenges of Accuracy in Germline Clinical Sequencing DataPoplin, R., Zook, J. M. & DePristo, M.
JAMA 326, 268–269 (2021).
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रिव्यु
Retinal detection of kidney disease and diabetesMitani, A., Hammel, N. & Liu, Y.
Nature Biomedical Engineering 1–3 (2021). [readcube]
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रिव्यु
Deep learning-enabled medical computer visionEsteva, A., Chou, K., Yeung, S., Naik, N., Madani, A., Mottaghi, A., Liu, Y., Topol, E., Dean, J. & Socher, R.
npj Digital Medicine 4, 5 (2021).
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रिव्यु
Closing the translation gap: AI applications in digital pathologySteiner, D. F., Chen, P.-H. C. & Mermel, C. H.
Biochim. Biophys. Acta Rev. Cancer 1875, 188452 (2021).
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रिव्यु
Lessons learnt from harnessing deep learning for real-world clinical applications in ophthalmology: detecting diabetic retinopathy from retinal fundus photographsLiu, Y., Yang, L., Phene, S. & Peng, L.
Artificial Intelligence in Medicine 247–264 (2021).
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रिव्यु
Resonate: Reaching Excellence Through Equity, Diversity, and Inclusion in ISMRMWarnert, E. A. H., Kasper, L., Meltzer, C. C., Lightfoote, J. B., Bucknor, M. D., Haroon, H., Duggan, G., Gowland, P., Wald, L., Miller, K. L., Morris, E. A. & Anazodo, U. C.
J. Magn. Reson. Imaging (2020). doi:10.1002/jmri.27476 [readcube]
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रिव्यु
Current and future applications of artificial intelligence in pathology: a clinical perspectiveRakha, E. A., Toss, M., Shiino, S., Gamble, P., Jaroensri, R., Mermel, C. H. & Chen, P.-H. C.
J. Clin. Pathol. (2020). doi:10.1136/jclinpath-2020-206908
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रिव्यु
Artificial intelligence, machine learning and deep learning for eye care specialistsSayres, R., Hammel, N. & Liu, Y.
Annals of Eye Science 5, 18–18 (2020).
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रिव्यु
Artificial intelligence in digital breast pathology: Techniques and applicationsIbrahim, A., Gamble, P., Jaroensri, R., Abdelsamea, M. M., Mermel, C. H., Chen, P.-H. C. & Rakha, E. A.
Breast 49, 267–273 (2020).
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रिव्यु
How to Read Articles That Use Machine Learning: Users’ Guides to the Medical LiteratureLiu, Y., Chen, P.-H. C., Krause, J. & Peng, L.
JAMA 322, 1806–1816 (2019). [readcube]
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रिव्यु
Key challenges for delivering clinical impact with artificial intelligenceKelly, C. J., Karthikesalingam, A., Suleyman, M., Corrado, G., & King, D.
BMC Med. 17, 195 (2019).
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रिव्यु
Ensuring Fairness in Machine Learning to Advance Health EquityRajkomar, A., Hardt, M., Howell, M. D., Corrado, G., & Chin, M. H.
Ann. Intern. Med. 169(12):866-872 (2018).
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रिव्यु
Artificial Intelligence Approach in MelanomaCuriel-Lewandrowski, C., Novoa, R. A., Berry, E., Celebi, M. E., Codella, N., Giuste, F., Gutman, D., Halpern, A., Leachman, S., Liu, Y., Liu, Y., Reiter, O. & Tschandl, P.
599–628. Springer New York (2019).
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रिव्यु
How to develop machine learning models for healthcareChen, C. P.-H., Liu, Y., & Peng, L.
Nat. Mater. 18, 410–414 (2019). [readcube]
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रिव्यु
Machine Learning in MedicineRajkomar, A., Dean, J., & Kohane I.
N. Engl. J. Med. 380:1347-1358 (2019).
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रिव्यु
A guide to deep learning in healthcareEsteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., Cui, C., Corrado, G., Thrun, S. & Dean, J.
Nat. Med. 25, 24–29 (2019). [readcube]
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रिव्यु
When does size matter? -- Promises, pitfalls, and appropriate interpretations of ‘big’ dataRough K, Thompson J.
Ophthalmology. 125(8):1136-1138 (2018).
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रिव्यु
Resolving the Productivity Paradox of Health Information Technology: A Time for OptimismWachter, R. M., Howell, M. D.
JAMA 320(1):25-26 (2018).
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ब्लॉग पोस्ट
Developing reliable AI tools for healthcareby Krishnamurthy (Dj) Dvijotham & Taylan Cemgil
Google DeepMind Blog | 17-Jul-2023
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ब्लॉग पोस्ट
Robust and efficient medical imaging with self-supervisionby Shekoofeh Azizi & Laura Culp
Google Research Blog | 26-Apr-2023
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ब्लॉग पोस्ट
How Underspecification Presents Challenges for Machine Learningby Alex D’Amour & Katherine Heller
Google Research Blog | 18-Oct-2021
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ब्लॉग पोस्ट
Self-Supervised Learning Advances Medical Image Classificationby Shekoofeh Azizi
Google Research Blog | 13-Oct-2021
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पब्लिकेशन
Generative models improve fairness of medical classifiers under distribution shifts.Ktena, I., Wiles, O., Albuquerque, I., Rebuffi, S.-A., Tanno, R., Roy, A. G., Azizi, S., Belgrave, D., Kohli, P., Cemgil, T., Karthikesalingam, A. & Gowal, S.
Nat. Med. (2024).
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पब्लिकेशन
Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines.Martindale, A. P. L., Ng, B., Ngai, V., Kale, A. U., Ferrante di Ruffano, L., Golub, R. M., Collins, G. S., Moher, D., McCradden, M. D., Oakden-Rayner, L., Rivera, S. C., Calvert, M., Kelly, C. J., Lee, C. S., Yau, C., Chan, A.-W., Keane, P. A., Beam, A. L., Denniston, A. K. & Liu, X.
Nat. Commun. 15, 1619 (2024).
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पब्लिकेशन
Understanding metric-related pitfalls in image analysis validationReinke, A., Tizabi, M. D., Baumgartner, M., Eisenmann, M., Heckmann-Nötzel, D., Kavur, A. E., Rädsch, T., Sudre, C. H., Acion, L., Antonelli, M., Arbel, T., Bakas, S., Benis, A., Buettner, F., Cardoso, M. J., Cheplygina, V., Chen, J., Christodoulou, E., Cimini, B. A., Farahani, K., Ferrer, L., Galdran, A., van Ginneken, B., Glocker, B., Godau, P., Hashimoto, D. A., Hoffman, M. M., Huisman, M., Isensee, F., Jannin, P., Kahn, C. E., Kainmueller, D., Kainz, B., Karargyris, A., Kleesiek, J., Kofler, F., Kooi, T., Kopp-Schneider, A., Kozubek, M., Kreshuk, A., Kurc, T., Landman, B. A., Litjens, G., Madani, A., Maier-Hein, K., Martel, A. L., Meijering, E., Menze, B., Moons, K. G. M., Müller, H., Nichyporuk, B., Nickel, F., Petersen, J., Rafelski, S. M., Rajpoot, N., Reyes, M., Riegler, M. A., Rieke, N., Saez-Rodriguez, J., Sánchez, C. I., Shetty, S., Summers, R. M., Taha, A. A., Tiulpin, A., Tsaftaris, S. A., Van Calster, B., Varoquaux, G., Yaniv, Z. R., Jäger, P. F. & Maier-Hein, L.
Nat. Methods 21, 182–194 (2024).[readcube]
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पब्लिकेशन
Detecting shortcut learning for fair medical AI using shortcut testingBrown, A., Tomasev, N., Freyberg, J., Liu, Y., Karthikesalingam, A. & Schrouff, J.
Nat. Commun. 14, 4314 (2023).
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पब्लिकेशन
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to cliniciansDvijotham, K., Winkens, J., Barsbey, M., Ghaisas, S., Stanforth, R., Pawlowski, N., Strachan, P., Ahmed, Z., Azizi, S., Bachrach, Y., Culp, L., Daswani, M., Freyberg, J., Kelly, C., Kiraly, A., Kohlberger, T., McKinney, S., Mustafa, B., Natarajan, V., Geras, K., Witowski, J., Qin, Z. Z., Creswell, J., Shetty, S., Sieniek, M., Spitz, T., Corrado, G., Kohli, P., Cemgil, T. & Karthikesalingam, A.
Nat. Med. 1–7 (2023).
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पब्लिकेशन
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imagingAzizi, S., Culp, L., Freyberg, J., Mustafa, B., Baur, S., Kornblith, S., Chen, T., Tomasev, N., Mitrović, J., Strachan, P., Mahdavi, S. S., Wulczyn, E., Babenko, B., Walker, M., Loh, A., Chen, P.-H. C., Liu, Y., Bavishi, P., McKinney, S. M., Winkens, J., Roy, A. G., Beaver, Z., Ryan, F., Krogue, J., Etemadi, M., Telang, U., Liu, Y., Peng, L., Corrado, G. S., Webster, D. R., Fleet, D., Hinton, G., Houlsby, N., Karthikesalingam, A., Norouzi, M. & Natarajan, V.
Nature Biomedical Engineering 1–24 (2023). [readcube]
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पब्लिकेशन
Diagnosing failures of fairness transfer across distribution shift in real-world medical settingsSchrouff, J., Harris, N., Koyejo, O. O., Alabdulmohsin, I., Schnider, E., Opsahl-Ong, K., Brown, A., Roy, S., Mincu, D., Chen, C., Dieng, A., Liu, Y., Natarajan, V., Karthikesalingam, A., Heller, K. A., Chiappa, S. & D’Amour, A.
NeurIPS (2022).
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पब्लिकेशन
Comparing human and AI performance in medical machine learning: An open-source Python library for the statistical analysis of reader study dataMcKinney, S. M.
medRxiv (2022).
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पब्लिकेशन
Iterative Quality Control Strategies for Expert Medical Image LabelingFreeman, B., Hammel, N., Phene, S., Huang, A., Ackermann, R., Kanzheleva, O., Hutson, M., Taggart, C., Duong, Q. & Sayres, R.
HCOMP 9, 60–71 (2021).
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पब्लिकेशन
Big Self-Supervised Models Advance Medical Image ClassificationAzizi, S., Mustafa, B., Ryan, F., Beaver, Z., Freyberg, J., Deaton, J., Loh, A., Karthikesalingam, A., Kornblith, S., Chen, T., Natarajan, V. & Norouzi, M.
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 3478–3488 (2021).
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पब्लिकेशन
Privacy-first health research with federated learningSadilek, A., Liu, L., Nguyen, D., Kamruzzaman, M., Serghiou, S., Rader, B., Ingerman, A., Mellem, S., Kairouz, P., Nsoesie, E. O., MacFarlane, J., Vullikanti, A., Marathe, M., Eastham, P., Brownstein, J. S., Arcas, B. A. Y., Howell, M. D. & Hernandez, J.
NPJ Digit Med 4, 132 (2021).
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पब्लिकेशन
Supervised Transfer Learning at Scale for Medical ImagingMustafa, B., Loh, A., Freyberg, J., MacWilliams, P., Karthikesalingam, A., Houlsby, N. & Natarajan, V.
arXiv [cs.CV] (2021).
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पब्लिकेशन
Big Self-Supervised Models Advance Medical Image ClassificationAzizi, S., Mustafa, B., Ryan, F., Beaver, Z., Freyberg, J., Deaton, J., Loh, A., Karthikesalingam, A., Kornblith, S., Chen, T., Natarajan, V. & Norouzi, M.
arXiv [eess.IV] (2021).
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पब्लिकेशन
Underspecification Presents Challenges for Credibility in Modern Machine LearningD’Amour, A., Heller, K., Moldovan, D., Adlam, B., Alipanahi, B., Beutel, A., Chen, C., Deaton, J., Eisenstein, J., Hoffman, M. D., Hormozdiari, F., Houlsby, N., Hou, S., Jerfel, G., Karthikesalingam, A., Lucic, M., Ma, Y., McLean, C., Mincu, D., Mitani, A., Montanari, A., Nado, Z., Natarajan, V., Nielson, C., Osborne, T. F., Raman, R., Ramasamy, K., Sayres, R., Schrouff, J., Seneviratne, M., Sequeira, S., Suresh, H., Veitch, V., Vladymyrov, M., Wang, X., Webster, K., Yadlowsky, S., Yun, T., Zhai, X. & Sculley, D.
arXiv [cs.LG] (2020).
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पब्लिकेशन
Contrastive Training for Improved Out-of-Distribution DetectionWinkens, J., Bunel, R., Roy, A. G., Stanforth, R., Natarajan, V., Ledsam, J. R., MacWilliams, P., Kohli, P., Karthikesalingam, A., Kohl, S., Cemgil, T., Ali Eslami, S. M. & Ronneberger, O.
arXiv [cs.LG] (2020).
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पब्लिकेशन
Customization scenarios for de-identification of clinical notesHartman, T., Howell, M., Dean, J., Hoory, S., Slyper, R., Laish, I., Gilon, O, Vainstein, D., Corrado, G., Chou, K., Po, M., Williams, J., Ellis, S., Bee, G., Hassidim, A., Amira, R., Beryozkin, G., Szpektor, I., & Matias, Y.
BMC (2020).
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ब्लॉग पोस्ट
How we’re using AI to connect people to health informationGoogle Keyword Blog | 19-Mar-2024
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ब्लॉग पोस्ट
3 ways we are building equity into our health workby Ivor Horn
Google Keyword Blog | 19-Mar-2024
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ब्लॉग पोस्ट
SCIN: A new resource for representative dermatology imagesby Pooja Rao
Google Research Blog | 19-Mar-2024
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ब्लॉग पोस्ट
HEAL: A framework for health equity assessment of machine learning performanceby Mike Schaekermann & Ivor Horn
Google Research Blog | 15-Mar-2024
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ब्लॉग पोस्ट
Health-specific embedding tools for dermatology and pathologyby Dave Steiner & Rory Pilgrim
Google Research Blog | 8-Mar-2024
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ब्लॉग पोस्ट
7 ways Google Health is improving outcomes in Asia Pacificby Karen DeSalvo
Google Keyword Blog | 18-Jul-2023
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ब्लॉग पोस्ट
8 ways Google Lens can help make your life easierby Lou Wang
Google Keyword Blog | 14-Jun-2023
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ब्लॉग पोस्ट
Ask a Techspert: What does AI do when it doesn’t know?by Iz Conroy
Google Keyword Blog | 08-Feb-2022
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ब्लॉग पोस्ट
Does Your Medical Image Classifier Know What It Doesn’t Know?by Abhijit Guha Roy & Jie Ren
Google Research Blog | 27-Jan-2022
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ब्लॉग पोस्ट
How DermAssist uses TensorFlow.js for on-device image quality checksby Miles Hutson & Aaron Loh
TensorFlow Blog | 11-Oct-2021
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ब्लॉग पोस्ट
Using AI to help find answers to common skin conditionsby Peggy Bui & Yuan Liu
Google Keyword Blog | 18-May-2021
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ब्लॉग पोस्ट
AI assists doctors in interpreting skin conditionsby Ayush Jain & Peggy Bui
Google Keyword Blog | 28-Apr-2021
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ब्लॉग पोस्ट
Generating Diverse Synthetic Medical Image Data for Training Machine Learning Modelsby Timo Kohlberger & Yuan Liu
Google Research Blog | 19-Feb-2020
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ब्लॉग पोस्ट
Using Deep Learning to Inform Differential Diagnoses of Skin Diseasesby Yuan Liu & Peggy Bui
Google Research Blog | 12-Sep-2019
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पब्लिकेशन
Searching for dermatology information online using images vs text: A randomized studyKrogue, J. D., Sayres, R., Hartford, J., Talreja, A., Bavishi, P., Salaets, N., Raiford, K., Nayar, J., Patel, R., Matias, Y., Corrado, G. S., Berrada, D., Kharbanda, H., Wang, L., Webster, D. R., Duong, Q., Bui, P. & Liu, Y.
medRxiv (2024).
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पब्लिकेशन
Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case studySchaekermann, M., Spitz, T., Pyles, M., Cole-Lewis, H., Wulczyn, E., Pfohl, S. R., Martin, D., Jr, Jaroensri, R., Keeling, G., Liu, Y., Farquhar, S., Xue, Q., Lester, J., Hughes, C., Strachan, P., Tan, F., Bui, P., Mermel, C. H., Peng, L. H., Matias, Y., Corrado, G. S., Webster, D. R., Virmani, S., Semturs, C., Liu, Y., Horn, I. & Cameron Chen, P.-H.
eClinicalMedicine (2024).
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ब्लॉग पोस्ट
Differences Between Patient and Clinician-Taken Images: Implications for Virtual Care of Skin ConditionsRikhye, R. V., Hong, G. E., Singh, P., Smith, M. A., Loh, A., Muralidharan, V., Wong, D., Sayres, R., Phung, M., Betancourt, N., Fong, B., Sahasrabudhe, R., Nasim, K., Eschholz, A., Matias, Y., Corrado, G. S., Chou, K., Webster, D. R., Bui, P., Liu, Y., Liu, Y., Ko, J. & Lin, S.
Mayo Clinic Proceedings: Digital Health (2024).
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पब्लिकेशन
Conformal prediction under ambiguous ground truthStutz, D., Roy, A. G., Matejovicova, T., Strachan, P., Cemgil, A. T. & Doucet, A.
Transactions on Machine Learning Research (2023).
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पब्लिकेशन
A Reduction to Binary Approach for Debiasing Multiclass Datasets. Advances in Neural Information Processing SystemsAlabdulmohsin, I.M., Schrouff, J., Koyejo, S.
35. NeurIPS (2022).
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पब्लिकेशन
Federated Training of Dual Encoding Models on Small Non-IID Client DatasetsVemulapalli, R., Morningstar, W. R., Mansfield, P. A., Eichner, H., Singhal, K., Afkanpour, A. & Green, B.
arXiv [cs.LG] (2022).
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पब्लिकेशन
Machine learning for clinical operations improvement via case triagingHuang, S. J., Liu, Y., Kanada, K., Corrado, G. S., Webster, D. R., Peng, L., Bui, P. & Liu, Y.
Skin Health and Disease (2021).
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पब्लिकेशन
Does your dermatology classifier know what it doesn’t know? Detecting the long-tail of unseen conditionsGuha Roy, A., Ren, J., Azizi, S., Loh, A., Natarajan, V., Mustafa, B., Pawlowski, N., Freyberg, J., Liu, Y., Beaver, Z., Vo, N., Bui, P., Winter, S., MacWilliams, P., Corrado, G. S., Telang, U., Liu, Y., Cemgil, T., Karthikesalingam, A., Lakshminarayanan, B. & Winkens, J.
Med. Image Analysis. 75, 102274 (2021). [reading link]
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पब्लिकेशन
Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology PracticesWeng, W.-H., Deaton, J., Natarajan, V., Elsayed, G. F. & Liu, Y.
JAMA Netw Open 4, e217249–e217249 (2021).
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पब्लिकेशन
Addressing the Real-world Class Imbalance Problem in DermatologyWeng, W.-H., Deaton, J., Natarajan, V., Elsayed, G. F. & Liu, Y.
Machine Learning for Health NeurIPS Workshop (ML4H), PMLR 136:415-429 (2020).
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पब्लिकेशन
Agreement Between Saliency Maps and Human-Labeled Regions of Interest: Applications to Skin Disease ClassificationSingh, N., Lee, K., Coz, D., Angermueller, C., Huang, S., Loh, A. & Liu, Y.
in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 3172–3181 (2020).
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पब्लिकेशन
A deep learning system for differential diagnosis of skin diseasesLiu, Y., Jain, A., Eng, C., Way, D. H., Lee, K., Bui, P., Kanada, K., de Oliveira Marinho, G., Gallegos, J., Gabriele, S., Gupta, V., Singh, N., Natarajan, V., Hofmann-Wellenhof, R., Corrado, G. S., Peng, L. H., Webster, D. R., Ai, D., Huang, S., Liu, Y., Carter Dunn, R. & Coz, D.
Nat. Med. (2020). [readcube]
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पब्लिकेशन
DermGAN: Synthetic Generation of Clinical Skin Images with PathologyGhorbani, A., Natarajan, V., Coz, D. & Liu, Y.
Machine Learning for Health NeurIPS Workshop (ML4H), PMLR 116:155-170 (2020).
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पब्लिकेशन
Measuring clinician-machine agreement in differential diagnoses for dermatologyEng, C., Liu, Y. & Bhatnagar, R.
Br. J. Dermatol. (2019). readcube
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ब्लॉग पोस्ट
Improved Detection of Elusive Polyps via Machine Learningby Yossi Matias & Ehud Rivlin
Google Research Blog | 5-Aug-2021
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ब्लॉग पोस्ट
Verily Opens New R&D Center in Israel Focused on the Application of AI in Healthcareby Robin Suchan
Verily Press | 5-Aug-2021
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ब्लॉग पोस्ट
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screeningsby Daniel Freedman & Ehud Rivlin
Google Research Blog | 28-Aug-2020
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पब्लिकेशन
Artificial intelligence for phase recognition in complex laparoscopic cholecystectomyGolany, T., Aides, A., Freedman, D., Rabani, N., Liu, Y., Rivlin, E., Corrado, G. S., Matias, Y., Khoury, W., Kashtan, H. & Reissman, P.
Surg. Endosc. (2022).
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पब्लिकेशन
Detection of elusive polyps via a large-scale artificial intelligence system (with videos)Livovsky, D. M., Veikherman, D., Golany, T., Aides, A., Dashinsky, V., Rabani, N., Ben Shimol, D., Blau, Y., Katzir, L., Shimshoni, I., Liu, Y., Segol, O., Goldin, E., Corrado, G., Lachter, J., Matias, Y., Rivlin, E. & Freedman, D.
Gastrointest. Endosc. (2021).
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पब्लिकेशन
Detecting Deficient Coverage in ColonoscopiesFreedman, D., Blau, Y., Katzir, L., Aides, A., Shimshoni, I., Veikherman, D., Golany, T., Gordon, A., Corrado, G., Matias, Y. & Rivlin, E.
IEEE Trans. Med. Imaging 1–1 (2020).
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ब्लॉग पोस्ट
An ML-Based Framework for COVID-19 Epidemiologyby Joel Shor & Sercan Arik
Google Research Blog | 13-Oct-2021
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ब्लॉग पोस्ट
Google Cloud, Harvard Global Health Institute release improved COVID-19 Public Forecasts, share lessons learnedby Tomas Pfister
Google Cloud Blog | 15-Nov-2020
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ब्लॉग पोस्ट
Google Cloud AI and Harvard Global Health Institute Collaborate on new COVID-19 forecasting modelby Dario Sava
Google Cloud Blog | 3-Aug-2020
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पब्लिकेशन
Algorithmic fairness in pandemic forecasting: lessons from COVID-19Tsai, T. C., Arik, S., Jacobson, B. H., Yoon, J., Yoder, N., Sava, D., Mitchell, M., Graham, G. & Pfister, T.
NPJ Digit Med 5, 59 (2022).
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पब्लिकेशन
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United StatesCramer, E. Y., Ray, E. L., Lopez, V. K., Bracher, J., Brennen, A., Castro Rivadeneira, A. J., Gerding, A., Gneiting, T., House, K. H., Huang, Y., Jayawardena, D., Kanji, A. H., Khandelwal, A., Le, K., Mühlemann, A., Niemi, J., Shah, A., Stark, A., Wang, Y., Wattanachit, N., Zorn, M. W., Gu, Y., Jain, S., Bannur, N., Deva, A., Kulkarni, M., Merugu, S., Raval, A., Shingi, S., Tiwari, A., White, J., Abernethy, N. F., Woody, S., Dahan, M., Fox, S., Gaither, K., Lachmann, M., Meyers, L. A., Scott, J. G., Tec, M., Srivastava, A., George, G. E., Cegan, J. C., Dettwiller, I. D., England, W. P., Farthing, M. W., Hunter, R. H., Lafferty, B., Linkov, I., Mayo, M. L., Parno, M. D., Rowland, M. A., Trump, B. D., Zhang-James, Y., Chen, S., Faraone, S. V., Hess, J., Morley, C. P., Salekin, A., Wang, D., Corsetti, S. M., Baer, T. M., Eisenberg, M. C., Falb, K., Huang, Y., Martin, E. T., McCauley, E., Myers, R. L., Schwarz, T., Sheldon, D., Gibson, G. C., Yu, R., Gao, L., Ma, Y., Wu, D., Yan, X., Jin, X., Wang, Y.-X., Chen, Y., Guo, L., Zhao, Y., Gu, Q., Chen, J., Wang, L., Xu, P., Zhang, W., Zou, D., Biegel, H., Lega, J., McConnell, S., Nagraj, V. P., Guertin, S. L., Hulme-Lowe, C., Turner, S. D., Shi, Y., Ban, X., Walraven, R., Hong, Q.-J., Kong, S., van de Walle, A., Turtle, J. A., Ben-Nun, M., Riley, S., Riley, P., Koyluoglu, U., DesRoches, D., Forli, P., Hamory, B., Kyriakides, C., Leis, H., Milliken, J., Moloney, M., Morgan, J., Nirgudkar, N., Ozcan, G., Piwonka, N., Ravi, M., Schrader, C., Shakhnovich, E., Siegel, D., Spatz, R., Stiefeling, C., Wilkinson, B., Wong, A., Cavany, S., España, G., Moore, S., Oidtman, R., Perkins, A., Kraus, D., Kraus, A., Gao, Z., Bian, J., Cao, W., Lavista Ferres, J., Li, C., Liu, T.-Y., Xie, X., Zhang, S., Zheng, S., Vespignani, A., Chinazzi, M., Davis, J. T., Mu, K., Pastore Y Piontti, A., Xiong, X., Zheng, A., Baek, J., Farias, V., Georgescu, A., Levi, R., Sinha, D., Wilde, J., Perakis, G., Bennouna, M. A., Nze-Ndong, D., Singhvi, D., Spantidakis, I., Thayaparan, L., Tsiourvas, A., Sarker, A., Jadbabaie, A., Shah, D., Della Penna, N., Celi, L. A., Sundar, S., Wolfinger, R., Osthus, D., Castro, L., Fairchild, G., Michaud, I., Karlen, D., Kinsey, M., Mullany, L. C., Rainwater-Lovett, K., Shin, L., Tallaksen, K., Wilson, S., Lee, E. C., Dent, J., Grantz, K. H., Hill, A. L., Kaminsky, J., Kaminsky, K., Keegan, L. T., Lauer, S. A., Lemaitre, J. C., Lessler, J., Meredith, H. R., Perez-Saez, J., Shah, S., Smith, C. P., Truelove, S. A., Wills, J., Marshall, M., Gardner, L., Nixon, K., Burant, J. C., Wang, L., Gao, L., Gu, Z., Kim, M., Li, X., Wang, G., Wang, Y., Yu, S., Reiner, R. C., Barber, R., Gakidou, E., Hay, S. I., Lim, S., Murray, C., Pigott, D., Gurung, H. L., Baccam, P., Stage, S. A., Suchoski, B. T., Prakash, B. A., Adhikari, B., Cui, J., Rodríguez, A., Tabassum, A., Xie, J., Keskinocak, P., Asplund, J., Baxter, A., Oruc, B. E., Serban, N., Arik, S. O., Dusenberry, M., Epshteyn, A., Kanal, E., Le, L. T., Li, C.-L., Pfister, T., Sava, D., Sinha, R., Tsai, T., Yoder, N., Yoon, J., Zhang, L., Abbott, S., Bosse, N. I., Funk, S., Hellewell, J., Meakin, S. R., Sherratt, K., Zhou, M., Kalantari, R., Yamana, T. K., Pei, S., Shaman, J., Li, M. L., Bertsimas, D., Skali Lami, O., Soni, S., Tazi Bouardi, H., Ayer, T., Adee, M., Chhatwal, J., Dalgic, O. O., Ladd, M. A., Linas, B. P., Mueller, P., Xiao, J., Wang, Y., Wang, Q., Xie, S., Zeng, D., Green, A., Bien, J., Brooks, L., Hu, A. J., Jahja, M., McDonald, D., Narasimhan, B., Politsch, C., Rajanala, S., Rumack, A., Simon, N., Tibshirani, R. J., Tibshirani, R., Ventura, V., Wasserman, L., O’Dea, E. B., Drake, J. M., Pagano, R., Tran, Q. T., Ho, L. S. T., Huynh, H., Walker, J. W., Slayton, R. B., Johansson, M. A., Biggerstaff, M. & Reich, N. G.
Proc. Natl. Acad. Sci. U. S. A. 119, e2113561119 (2022).
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पब्लिकेशन
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and JapanArık, S. Ö., Shor, J., Sinha, R., Yoon, J., Ledsam, J. R., Le, L. T., Dusenberry, M. W., Yoder, N. C., Popendorf, K., Epshteyn, A., Euphrosine, J., Kanal, E., Jones, I., Li, C.-L., Luan, B., Mckenna, J., Menon, V., Singh, S., Sun, M., Ravi, A. S., Zhang, L., Sava, D., Cunningham, K., Kayama, H., Tsai, T., Yoneoka, D., Nomura, S., Miyata, H. & Pfister, T.
NPJ Digit Med 4, 146 (2021).
-
पब्लिकेशन
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural NetworksKapoor, A., Ben, X., Liu, L., Perozzi, B., Barnes, M., Blais, M. & O’Banion, S.
arXiv [cs.LG] (2020).
-
पब्लिकेशन
Interpretable Sequence Learning for Covid-19 ForecastingArik, Li, Yoon, Sinha, Epshteyn, Le, Menon, Singh, Zhang, Nikoltchev, Sonthalia, Nakhost, Kanal & Pfister.
Adv. Neural Inf. Process. Syst. 2020.
-
ब्लॉग पोस्ट
How AI is making eyesight-saving care more accessible in resource-constrained settingsby Rajroshan Sawhney
Google Keyword Blog | 17-Oct-2024
-
ब्लॉग पोस्ट
Supporting a healthier and greener India with our AIby the Google India Team
Google India Blog | 17-Oct-2024
-
ब्लॉग पोस्ट
Google at 25: By the numbersby Michelle Budzyna & Molly McHugh-Johnson
Google Keyword Blog | 27-Sep-2023
-
ब्लॉग पोस्ट
7 ways Google Health is improving outcomes in Asia Pacificby Karen DeSalvo
Google Keyword Blog | 18-Jul-2023
-
ब्लॉग पोस्ट
5 myths about medical AI, debunkedby Kasumi Widner
Google Keyword Blog | 30-May-2023
-
ब्लॉग पोस्ट
An eye to the future: How AI could help to improve detection of eye disease in Australian communitiesby Angus Turner
Google Australia Blog | 7-Mar-2023
-
ब्लॉग पोस्ट
Healthcare AI systems that put people at the centerby Emma Beede
Google Keyword Blog | 25-Apr-2020
-
ब्लॉग पोस्ट
The Check Up: our latest health AI developmentsby Greg Corrado
Google Research Blog | 24-Mar-2022
-
ब्लॉग पोस्ट
New milestones in helping prevent eye disease with Verilyby Kasumi Widner & Sunny Virmani
Google Keyword Blog | 25-Feb-2019
-
ब्लॉग पोस्ट
Launching a powerful new screening tool for diabetic eye disease in IndiaVerily Blog | 25-Feb-2019
-
ब्लॉग पोस्ट
AI for Social Good in Asia Pacificby Kent Walter
Google Keyword Blog | 13-Dec-2018
-
ब्लॉग पोस्ट
Improving the Effectiveness of Diabetic Retinopathy Modelsby Rory Sayres & Jonathan Krause
Google Research Blog | 13-Dec-2018
-
ब्लॉग पोस्ट
A major milestone for the treatment of eye diseaseby Mustafa Suleyman
DeepMind Blog | 13-Aug-2018
-
ब्लॉग पोस्ट
Detecting diabetic eye disease with machine learningby Lily Peng
Google Keyword Blog | 29-Nov-2016
-
ब्लॉग पोस्ट
Deep learning for Detection of Diabetic Eye Diseaseby Lily Peng & Varun Gulshan
Google Research Blog | 29-Nov-2016
-
पब्लिकेशन
Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective StudyBora, A., Tiwari, R., Bavishi, P., Virmani, S., Huang, R., Traynis, I., Corrado, G. S., Peng, L., Webster, D. R., Varadarajan, A. V., Pattanapongpaiboon, W., Chopra, R. & Ruamviboonsuk, P.
Transl. Vis. Sci. Technol. 12, 11 (2023).
-
पब्लिकेशन
Lessons learned from translating AI from development to deployment in healthcareWidner, K., Virmani, S., Krause, J., Nayar, J., Tiwari, R., Pedersen, E. R., Jeji, D., Hammel, N., Matias, Y., Corrado, G. S., Liu, Y., Peng, L. & Webster, D. R.
Nat. Med. 1–3 (2023). [readcube]
-
पब्लिकेशन
Cost-Utility Analysis of Deep Learning and Trained Human Graders for Diabetic Retinopathy Screening in a Nationwide ProgramSrisubat, A., Kittrongsiri, K., Sangroongruangsri, S., Khemvaranan, C., Shreibati, J. B., Ching, J., Hernandez, J., Tiwari, R., Hersch, F., Liu, Y., Hanutsaha, P., Ruamviboonsuk, V., Turongkaravee, S., Raman, R. & Ruamviboonsuk, P.
Ophthalmol Ther (2023).
-
पब्लिकेशन
Validation of a deep learning system for the detection of diabetic retinopathy in Indigenous AustraliansChia, M. A., Hersch, F., Sayres, R., Bavishi, P., Tiwari, R., Keane, P. A. & Turner, A. W.
Br. J. Ophthalmol. (2023).
-
पब्लिकेशन
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort studyRuamviboonsuk, P., Tiwari, R., Sayres, R., Nganthavee, V., Hemarat, K., Kongprayoon, A., Raman, R., Levinstein, B., Liu, Y., Schaekermann, M., Lee, R., Virmani, S., Widner, K., Chambers, J., Hersch, F., Peng, L. & Webster, D. R.
The Lancet Digital Health (2022).
-
पब्लिकेशन
Redesigning Clinical Pathways for Immediate Diabetic Retinopathy Screening ResultsPedersen Elin Rønby, Cuadros Jorge, Khan Mahbuba, Fleischmann Sybille, Wolff Gregory, Hammel Naama, Liu Yun & Leung Geoffrey.
NEJM Catalyst (2021).
-
पब्लिकेशन
Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep LearningWilson, M., Chopra, R., Wilson, M. Z., Cooper, C., MacWilliams, P., Liu, Y., Wulczyn, E., Florea, D., Hughes, C. O., Karthikesalingam, A., Khalid, H., Vermeirsch, S., Nicholson, L., Keane, P. A., Balaskas, K. & Kelly, C. J.
JAMA Ophthalmol. (2021).
-
पब्लिकेशन
Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human GradersLimwattanayingyong, J., Nganthavee, V., Seresirikachorn, K., Singalavanija, T., Soonthornworasiri, N., Ruamviboonsuk, V., Rao, C., Raman, R., Grzybowski, A., Schaekermann, M., Peng, L. H., Webster, D. R., Semturs, C., Krause, J., Sayres, R., Hersch, F., Tiwari, R., Liu, Y. & Ruamviboonsuk, P.
Journal of Diabetes Research, 1–8 (2020).
-
पब्लिकेशन
Improving medical annotation quality to decrease labeling burden using stratified noisy cross-validationHsu J, Phene S, Mitani A, Luo J, Hammel N, Krause J, Sayres R.
in ACM-CHIL [arXiv](2020)
-
पब्लिकेशन
Adherence to ophthalmology referral, treatment and follow-up after diabetic retinopathy screening in the primary care settingBresnick, G., Cuadros, J. A., Khan, M., Fleischmann, S., Wolff, G., Limon, A., Chang, J., Jiang, L., Cuadros, P. & Pedersen, E. R.
BMJ Open Diabetes Research and Care 8, e001154 (2020).
-
पब्लिकेशन
A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic RetinopathyBeede, E., Baylor, E., Hersch, F., Iurchenko, A., Wilcox, L., Ruamviboonsuk, P. & Vardoulakis, L. M.
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems 1–12. Association for Computing Machinery (2020).
-
पब्लिकेशन
Expert Discussions Improve Comprehension of Difficult Cases in Medical Image AssessmentSchaekermann, M., Cai, C. J., Huang, A. E. & Sayres, R.
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems 1–13. Association for Computing Machinery (2020).
-
पब्लिकेशन
Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus PhotographsPhene, S., Dunn, R. C., Hammel, N., Liu, Y., Krause, J., Kitade, N., Schaekermann, M., Sayres, R., Wu, D. J., Bora, A., Semturs, C., Misra, A., Huang, A. E., Spitze, A., Medeiros, F. A., Maa, A. Y., Gandhi, M., Corrado, G. S., Peng, L. & Webster, D. R.
Ophthalmology 126, 1627–1639 (2019).
-
पब्लिकेशन
Remote Tool-Based Adjudication for Grading Diabetic RetinopathySchaekermann, M., Hammel, N., Terry, M., Ali, T. K., Liu, Y., Basham, B., Campana, B., Chen, W., Ji, X., Krause, J., Corrado, G. S., Peng, L., Webster, D. R., Law, E. & Sayres, R.
Transl. Vis. Sci. Technol. 8, 40 (2019).
-
पब्लिकेशन
Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in IndiaGulshan, V., Rajan, R. P., Widner, K., Wu, D., Wubbels, P., Rhodes, T., Whitehouse, K., Coram, M., Corrado, G., Ramasamy, K., Raman, R., Peng, L. & Webster, D. R.
JAMA Ophthalmol. (2019).
-
पब्लिकेशन
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening programRuamviboonsuk, P., Krause, J., Chotcomwongse, P., Sayres, R., Raman, R., Widner, K., Campana, B. J. L., Phene, S., Hemarat, K., Tadarati, M., Silpa-Archa, S., Limwattanayingyong, J., Rao, C., Kuruvilla, O., Jung, J., Tan, J., Orprayoon, S., Kangwanwongpaisan, C., Sukumalpaiboon, R., Luengchaichawang, C., Fuangkaew, J., Kongsap, P., Chualinpha, L., Saree, S., Kawinpanitan, S., Mitvongsa, K., Lawanasakol, S., Thepchatri, C., Wongpichedchai, L., Corrado, G. S., Peng, L. & Webster, D. R.
npj Digit Med 2, 25 (2019).
-
पब्लिकेशन
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic RetinopathySayres, R., Taly, A., Rahimy, E., Blumer, K., Coz, D., Hammel, N., Krause, J., Narayanaswamy, A., Rastegar, Z., Wu, D., Xu, S., Barb, S., Joseph, A., Shumski, M., Smith, J., Sood, A. B., Corrado, G. S., Peng, L. & Webster, D. R.
Ophthalmology 126, 552–564 (2019).
-
पब्लिकेशन
Clinically applicable deep learning for diagnosis and referral in retinal diseaseFauw, J., Ledsam, J.R., Romera-Paredes, B., Nikolov, S., Tomasev, N., Blackwell, S., Askham, H., Glorot, X., O’Donoghue, B., Visentin, D., van den Driessche, G., Lakshminarayanan, B., Meyer, C., Mackinder, F., Bouton, S., Ayoub, K., Chopra, R., King, D., Karthikesalingam, A., Hughes, C.O., Raine, R., Hughes, J., Sim, D. A., Egan, C., Tufail, A., Montgomery, H., Hassabis, D., Rees, G., Back, T., Khaw, P.T., Suleyman, M., Cornebise, J., Keane, P.A., & Ronneberger, O.
Nat. Med. 24, 1342–1350 (2018). [readcube]
-
पब्लिकेशन
Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic RetinopathyKrause, J., Gulshan, V., Rahimy, E., Karth, P., Widner, K., Corrado, G. S., Peng, L., & Webster, D.R.
Ophthalmology 125, 1264–1272 (2018).[arXiv]
-
पब्लिकेशन
Blind spots in telemedicine: a qualitative study of staff workarounds to resolve gaps in diabetes managementBouskill, K., Smith-Morris, C., Bresnick, G., Cuadros, J. & Pedersen, E. R.
BMC Health Services Research 18, (2018).
-
पब्लिकेशन
Diabetic Retinopathy and the Cascade into Vision LossSmith-Morris, C., Bresnick, G. H., Cuadros, J., Bouskill, K. E. & Pedersen, E. R.
Med. Anthropol. 39, 109–122 (2018).
-
पब्लिकेशन
Who Said What: Modeling Individual Labelers Improves ClassificationGuan, M., Gulshan, V., Dai, A, Hinton, G.
AAAI Conference on Artificial Intelligence (2018).
-
पब्लिकेशन
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographsGulshan, V., Peng, L., Coram, M., Stumpe, M. C., Wu, D., Narayanaswamy, A., Venugopalan, S., Widner, K., Madams, T., Cuadros, J., Ramasamy, K., Nelson, P., Mega, J., & Webster, D.
JAMA 316, 2402–2410 (2016).
-
ब्लॉग पोस्ट [ज़्यादा जानकारी के लिए, Google Keyword ब्लॉग पर जाएं]
Loss of Pulse Detection: A first-of-its-kind feature on Pixel Watch 3by Tajinder Gadh & Pramod Rudrapatna
Google Keyword Blog | 13-Aug-2024
-
ब्लॉग पोस्ट
A new study using Fitbit data uncovers connections between sleep and diseaseby Logan Schneider & Evan Brittain
Google Keyword Blog | 24-Jul-2024
-
ब्लॉग पोस्ट
Health partners can now more easily access Fitbit heart databy Kapil Parakh
Google Keyword Blog | 10-Jul-2024
-
ब्लॉग पोस्ट
How Fitbit can help you measure stress — and use it to your advantageby Molly McHugh-Johnson
Google Keyword Blog | 17-Apr-2024
-
ब्लॉग पोस्ट
How we’re using AI to connect people to health informationGoogle Keyword Blog | 19-Mar-2024
-
ब्लॉग पोस्ट
3 heart-health tips from Fitbit’s lead cardiologistby Molly McHugh-Johnson
Google Keyword Blog | 6-Mar-2024
-
ब्लॉग पोस्ट
6 things I learned after using the Fitbit Charge 6 for a weekby Mike Darling
Google Keyword Blog | 24-Jan-2024
-
ब्लॉग पोस्ट
New Fitbit study explores metabolic healthby Javier L. Prieto
Google Keyword Blog | 17-Jan-2024
-
ब्लॉग पोस्ट [इस बारे में ज़्यादा जानकारी के लिए, Fitbit ब्लॉग पर जाएं]
3 ways Fitbit can improve your health — backed by researchby Amy McDonough
Google Keyword Blog | 26-Oct-2023
-
ब्लॉग पोस्ट
How Google Pixel Watch 2 and Fitbit Charge 6 improved heart rate trackingby Molly McHugh-Johnson
Google Keyword Blog | 19-Oct-2023
-
ब्लॉग पोस्ट
Google Pixel Watch 2: New ways to stay healthy, connected and safeby Sandeep Waraich
Google Keyword Blog | 4-Oct-2023
-
ब्लॉग पोस्ट
Introducing Fitbit Charge 6: Our most advanced tracker yetby TJ Varghese
Google Keyword Blog | 28-Sep-2023
-
ब्लॉग पोस्ट
Meet the new Fitbit app that’s redesigned with you in mindby Maggie Stanphill & Bhanu Narasimhan
Google Keyword Blog | 1-Aug-2023
-
ब्लॉग पोस्ट
How we trained Fitbit’s Body Response feature to detect stressby Elena Perez & Samy Abdel-Ghaffer
Google Keyword Blog | 2-Jun-2023
-
ब्लॉग पोस्ट
7 ways to stress less with Fitbitby Elena Perez
Google Keyword Blog | 4-May-2023
-
ब्लॉग पोस्ट
3 ways Google products can help you feel less stressedby Megan Jones Bell
Google Keyword Blog | 13-Apr-2023
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ब्लॉग पोस्ट
6 ways Google AI is helping you sleep betterby Molly McHugh-Johnson
Google Keyword Blog | 16-Mar-2023
-
ब्लॉग पोस्ट
3 ways to take better care of your mind and body in 2023by Megan Jones Bell
Google Keyword Blog | 5-Jan-2023
-
ब्लॉग पोस्ट
8 things we launched in 2022 to support your healthby Iz Conroy
Google Keyword Blog | 21-Dec-2022
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ब्लॉग पोस्ट
I tried Fitbit’s new sleep features for two monthsby Zahra Barnes
Google Keyword Blog | 20-Dec-2022
-
ब्लॉग पोस्ट
Google Pixel Watch: Help by Google, health by Fitbitby Sandeep Waraich
Google Keyword Blog | 6-Oct-2022
-
ब्लॉग पोस्ट
8 things to try now on Fitbit Sense 2 and Versa 4by TJ Varghese
Google Keyword Blog | 29-Sep-2022
-
ब्लॉग पोस्ट
Our work toward health equityby Ivor Horn
Google Keyword Blog | 12-Sep-2022
-
ब्लॉग पोस्ट
Fitbit’s fall lineup: helping you live your healthiest lifeby TJ Varghese
Google Keyword Blog | 24-Aug-2022
-
ब्लॉग पोस्ट
Kick-start your fitness routine with Fitbit Inspire 3by The Fitbit Team
Google Keyword Blog | 24-Aug-2022
-
ब्लॉग पोस्ट
Manage your health and fitness with Fitbit Versa 4 and Sense 2by The Fitbit Team
Google Keyword Blog | 24-Aug-2022
-
ब्लॉग पोस्ट
Improve your ZZZs with Fitbit Premium Sleep Profileby The Fitbit Team
Google Keyword Blog | 22-Jun-2022
-
ब्लॉग पोस्ट
Mental health resources you can count onby Megan Jones Bell
Google Keyword Blog | 17-May-2022
-
ब्लॉग पोस्ट
New Fitbit feature makes AFib detection more accessibleby The Fitbit Team
Google Keyword Blog | 11-Apr-2022
-
ब्लॉग पोस्ट
The Check Up: helping people live healthier livesby Karen DeSalvo
Google Keyword Blog | 24-Mar-2022
-
पब्लिकेशन
Sleep patterns and risk of chronic disease as measured by long-term monitoring with commercial wearable devices in the All of Us Research ProgramZheng, N. S., Annis, J., Master, H., Han, L., Gleichauf, K., Ching, J. H., Nasser, M., Coleman, P., Desine, S., Ruderfer, D. M., Hernandez, J., Schneider, L. D. & Brittain, E. L.
Nat. Med. (2024).
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पब्लिकेशन
Measure by measure: Resting heart rate across the 24-hour cycleSpeed, C., Arneil, T., Harle, R., Wilson, A., Karthikesalingam, A., McConnell, M. & Phillips, J.
PLOS Digit Health 2, e0000236 (2023).
-
पब्लिकेशन
Detection of Atrial Fibrillation in a Large Population Using Wearable Devices: The Fitbit Heart StudyLubitz, S. A., Faranesh, A. Z., Selvaggi, C., Atlas, S. J., McManus, D. D., Singer, D. E., Pagoto, S., McConnell, M. V., Pantelopoulos, A. & Foulkes, A. S.
Circulation (2022).
-
पब्लिकेशन
Occurrence of Relative Bradycardia and Relative Tachycardia in Individuals Diagnosed With COVID-19Natarajan, A., Su, H.-W. & Heneghan, C.
Front. Physiol. 13, 898251 (2022).
-
पब्लिकेशन
Measurement of respiratory rate using wearable devices and applications to COVID-19 detectionNatarajan, A., Su, H.-W., Heneghan, C., Blunt, L., O’Connor, C. & Niehaus, L.
NPJ Digit Med 4, 136 (2021).
-
ब्लॉग पोस्ट [इस बारे में ज़्यादा जानकारी के लिए, DeepVariant ब्लॉग पर जाएं]
Learning DeepVariant's hidden powersby Atilla Kiraly & Yuchen Zhou
Google Research Blog | 22-Oct-2024
-
ब्लॉग पोस्ट
A breakthrough to better represent human genetic diversityby Andrew Carroll
Google Keyword Blog | 10-May-2023
-
ब्लॉग पोस्ट
Building better pangenomes to improve the equity of genomicsby Andrew Carroll & Kishwar Shafin
Google Research Blog | 10-May-2023
-
ब्लॉग पोस्ट
An ML-based approach to better characterize lung diseasesBabak Behsaz & Andrew Carroll
Google Research Blog | 27-Apr-2023
-
ब्लॉग पोस्ट
Developing an aging clock using deep learning on retinal imagesby Sara Ahadi & Andrew Carroll
Google Research Blog | 11-Apr-2023
-
ब्लॉग पोस्ट
7 ways Google is using AI to help solve society's challengesby Katie Malczyk
Google Keyword Blog | 17-Jan-2023
-
ब्लॉग पोस्ट
A new genome sequencing tool powered with our technologyby Andrew Carroll
Google Keyword Blog | 26-Oct-2022
-
ब्लॉग पोस्ट
Advancing genomics to better understand and treat diseaseby Andrew Carroll & Pi-Chuan Chang
Google Keyword Blog | 13-Jan-2022
-
ब्लॉग पोस्ट
DeepNull: an open-source method to improve the discovery power of genetic association studiesby Farhad Hormozdiari & Andrew Carroll
Google Open Source Blog | 11-Jan-2022
-
ब्लॉग पोस्ट
Improving Genomic Discovery with Machine Learningby Andrew Carroll & Cory McLean
Google Research Blog | 23-Jun-2021
-
ब्लॉग पोस्ट
Improving the Accuracy of Genomic Analysis with DeepVariant 1.0by Andrew Carroll & Pi-Chuan Chang
Google Research Blog | 18-Sep-2020
-
ब्लॉग पोस्ट
DeepVariant Accuracy Improvements for Genetic Datatypesby Pi-Chuan Chang & Lizzie Dorfman
Google Research Blog | 19-Apr-2018
-
ब्लॉग पोस्ट
DeepVariant: Highly Accurate Genomes With Deep Neural Networksby Mark DePristo & Ryan Poplin
Google Research Blog | 4-Dec-2017
-
ब्लॉग पोस्ट
An AI Resident at work: Suhani Vora and her work on genomicsby Phing Lee
Google Keyword Blog | 17-Nov-2017
-
पब्लिकेशन
Personalized pangenome referencesSirén, J., Eskandar, P., Ungaro, M. T., Hickey, G., Eizenga, J. M., Novak, A. M., Chang, X., Chang, P.-C., Kolmogorov, M., Carroll, A., Monlong, J. & Paten, B.
Nat. Methods 1–7 (2024).
-
पब्लिकेशन
Local read haplotagging enables accurate long-read small variant callingKolesnikov, A., Cook, D., Nattestad, M. et al.
Nat Commun 15, 5907 (2024).
-
पब्लिकेशन
Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and predictionYun, T., Cosentino, J., Behsaz, B., McCaw, Z. R., Hill, D., Luben, R., Lai, D., Bates, J., Yang, H., Schwantes-An, T.-H., Zhou, Y., Khawaja, A. P., Carroll, A., Hobbs, B. D., Cho, M. H., McLean, C. Y. & Hormozdiari, F.
Nat. Genet. (2024).
-
पब्लिकेशन
Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylationKolmogorov, M., Billingsley, K. J., Mastoras, M., Meredith, M., Monlong, J., Lorig-Roach, R., Asri, M., Alvarez Jerez, P., Malik, L., Dewan, R., Reed, X., Genner, R. M., Daida, K., Behera, S., Shafin, K., Pesout, T., Prabakaran, J., Carnevali, P., Yang, J., Rhie, A., Scholz, S. W., Traynor, B. J., Miga, K. H., Jain, M., Timp, W., Phillippy, A. M., Chaisson, M., Sedlazeck, F. J., Blauwendraat, C. & Paten, B.
Nat. Methods 20, 1483–1492 (2023).
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पब्लिकेशन
The complete sequence of a human Y chromosomeRhie, A., Nurk, S., Cechova, M., Hoyt, S. J., Taylor, D. J., Altemose, N., Hook, P. W., Koren, S., Rautiainen, M., Alexandrov, I. A., Allen, J., Asri, M., Bzikadze, A. V., Chen, N.-C., Chin, C.-S., Diekhans, M., Flicek, P., Formenti, G., Fungtammasan, A., Garcia Giron, C., Garrison, E., Gershman, A., Gerton, J. L., Grady, P. G. S., Guarracino, A., Haggerty, L., Halabian, R., Hansen, N. F., Harris, R., Hartley, G. A., Harvey, W. T., Haukness, M., Heinz, J., Hourlier, T., Hubley, R. M., Hunt, S. E., Hwang, S., Jain, M., Kesharwani, R. K., Lewis, A. P., Li, H., Logsdon, G. A., Lucas, J. K., Makalowski, W., Markovic, C., Martin, F. J., Mc Cartney, A. M., McCoy, R. C., McDaniel, J., McNulty, B. M., Medvedev, P., Mikheenko, A., Munson, K. M., Murphy, T. D., Olsen, H. E., Olson, N. D., Paulin, L. F., Porubsky, D., Potapova, T., Ryabov, F., Salzberg, S. L., Sauria, M. E. G., Sedlazeck, F. J., Shafin, K., Shepelev, V. A., Shumate, A., Storer, J. M., Surapaneni, L., Taravella Oill, A. M., Thibaud-Nissen, F., Timp, W., Tomaszkiewicz, M., Vollger, M. R., Walenz, B. P., Watwood, A. C., Weissensteiner, M. H., Wenger, A. M., Wilson, M. A., Zarate, S., Zhu, Y., Zook, J. M., Eichler, E. E., O’Neill, R. J., Schatz, M. C., Miga, K. H., Makova, K. D. & Phillippy, A. M.
Nature (2023).
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पब्लिकेशन
A draft human pangenome referenceLiao, W.-W., Asri, M., Ebler, J., Doerr, D., Haukness, M., Hickey, G., Lu, S., Lucas, J. K., Monlong, J., Abel, H. J., Buonaiuto, S., Chang, X. H., Cheng, H., Chu, J., Colonna, V., Eizenga, J. M., Feng, X., Fischer, C., Fulton, R. S., Garg, S., Groza, C., Guarracino, A., Harvey, W. T., Heumos, S., Howe, K., Jain, M., Lu, T.-Y., Markello, C., Martin, F. J., Mitchell, M. W., Munson, K. M., Mwaniki, M. N., Novak, A. M., Olsen, H. E., Pesout, T., Porubsky, D., Prins, P., Sibbesen, J. A., Sirén, J., Tomlinson, C., Villani, F., Vollger, M. R., Antonacci-Fulton, L. L., Baid, G., Baker, C. A., Belyaeva, A., Billis, K., Carroll, A., Chang, P.-C., Cody, S., Cook, D. E., Cook-Deegan, R. M., Cornejo, O. E., Diekhans, M., Ebert, P., Fairley, S., Fedrigo, O., Felsenfeld, A. L., Formenti, G., Frankish, A., Gao, Y., Garrison, N. A., Giron, C. G., Green, R. E., Haggerty, L., Hoekzema, K., Hourlier, T., Ji, H. P., Kenny, E. E., Koenig, B. A., Kolesnikov, A., Korbel, J. O., Kordosky, J., Koren, S., Lee, H., Lewis, A. P., Magalhães, H., Marco-Sola, S., Marijon, P., McCartney, A., McDaniel, J., Mountcastle, J., Nattestad, M., Nurk, S., Olson, N. D., Popejoy, A. B., Puiu, D., Rautiainen, M., Regier, A. A., Rhie, A., Sacco, S., Sanders, A. D., Schneider, V. A., Schultz, B. I., Shafin, K., Smith, M. W., Sofia, H. J., Abou Tayoun, A. N., Thibaud-Nissen, F., Tricomi, F. F., Wagner, J., Walenz, B., Wood, J. M. D., Zimin, A. V., Bourque, G., Chaisson, M. J. P., Flicek, P., Phillippy, A. M., Zook, J. M., Eichler, E. E., Haussler, D., Wang, T., Jarvis, E. D., Miga, K. H., Garrison, E., Marschall, T., Hall, I. M., Li, H. & Paten, B.
Nature 617, 312–324 (2023).
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पब्लिकेशन
Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk modelsCosentino, J., Behsaz, B., Alipanahi, B., McCaw, Z. R., Hill, D., Schwantes-An, T.-H., Lai, D., Carroll, A., Hobbs, B. D., Cho, M. H., McLean, C. Y. & Hormozdiari, F.
Nat. Genet. (2023).
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पब्लिकेशन
Best: A Tool for Characterizing Sequencing ErrorsLiu, D., Belyaeva, A., Shafin, K., Chang, P.-C., Carroll, A. & Cook, D. E.
bioRxiv (2022).
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पब्लिकेशन
Knowledge distillation for fast and accurate DNA sequence correction.Belyaeva, A., Shor, J., Cook, D. E., Shafin, K., Liu, D., Töpfer, A., Wenger, A. M., Rowell, W. J., Yang, H., Kolesnikov, A., McLean, C. Y., Nattestad, M., Carroll, A. & Chang, P.-C.
NeurIPS (2022).
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पब्लिकेशन
An Empirical Study of ML-based Phenotyping and Denoising for Improved Genomic DiscoveryYuan, B., McLean, C. Y., Hormozdiari, F. I. & Cosentino, J.
NeurIPS (2022).
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पब्लिकेशन
DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformerBaid, G., Cook, D. E., Shafin, K., Yun, T., Llinares-López, F., Berthet, Q., Belyaeva, A., Töpfer, A., Wenger, A. M., Rowell, W. J., Yang, H., Kolesnikov, A., Ammar, W., Vert, J.-P., Vaswani, A., McLean, C. Y., Nattestad, M., Chang, P.-C. & Carroll, A.
Nat. Biotechnol. (2022).
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पब्लिकेशन
Benchmarking challenging small variants with linked and long readsWagner, J., Olson, N. D., Harris, L., Khan, Z., Farek, J., Mahmoud, M., Stankovic, A., Kovacevic, V., Yoo, B., Miller, N., Rosenfeld, J. A., Ni, B., Zarate, S., Kirsche, M., Aganezov, S., Schatz, M. C., Narzisi, G., Byrska-Bishop, M., Clarke, W., Evani, U. S., Markello, C., Shafin, K., Zhou, X., Sidow, A., Bansal, V., Ebert, P., Marschall, T., Lansdorp, P., Hanlon, V., Mattsson, C.-A., Barrio, A. M., Fiddes, I. T., Xiao, C., Fungtammasan, A., Chin, C.-S., Wenger, A. M., Rowell, W. J., Sedlazeck, F. J., Carroll, A., Salit, M. & Zook, J. M.
Cell Genom 2, (2022).
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पब्लिकेशन
A complete pedigree-based graph workflow for rare candidate variant analysisMarkello, C., Huang, C., Rodriguez, A., Carroll, A., Chang, P.-C., Eizenga, J., Markello, T., Haussler, D. & Paten, B.
Genome Res. 32, 893–903 (2022).
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पब्लिकेशन
Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencingGoenka, S. D., Gorzynski, J. E., Shafin, K., Fisk, D. G., Pesout, T., Jensen, T. D., Monlong, J., Chang, P.-C., Baid, G., Bernstein, J. A., Christle, J. W., Dalton, K. P., Garalde, D. R., Grove, M. E., Guillory, J., Kolesnikov, A., Nattestad, M., Ruzhnikov, M. R. Z., Samadi, M., Sethia, A., Spiteri, E., Wright, C. J., Xiong, K., Zhu, T., Jain, M., Sedlazeck, F. J., Carroll, A., Paten, B. & Ashley, E. A.
Nat. Biotechnol. (2022).
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पब्लिकेशन
Ultrarapid Nanopore Genome Sequencing in a Critical Care SettingGorzynski, J. E., Goenka, S. D., Shafin, K., Jensen, T. D., Fisk, D. G., Grove, M. E., Spiteri, E., Pesout, T., Monlong, J., Baid, G., Bernstein, J. A., Ceresnak, S., Chang, P.-C., Christle, J. W., Chubb, H., Dalton, K. P., Dunn, K., Garalde, D. R., Guillory, J., Knowles, J. W., Kolesnikov, A., Ma, M., Moscarello, T., Nattestad, M., Perez, M., Ruzhnikov, M. R. Z., Samadi, M., Setia, A., Wright, C., Wusthoff, C. J., Xiong, K., Zhu, T., Jain, M., Sedlazeck, F. J., Carroll, A., Paten, B. & Ashley, E. A.
N. Engl. J. Med. (2022).
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पब्लिकेशन
Ultra-Rapid Nanopore Whole Genome Genetic Diagnosis of Dilated Cardiomyopathy in an Adolescent With Cardiogenic ShockGorzynski, J. E., Goenka, S. D., Shafin, K., Jensen, T. D., Fisk, D. G., Grove, M. E., Spiteri, E., Pesout, T., Monlong, J., Bernstein, J. A., Ceresnak, S., Chang, P.-C., Christle, J. W., Chubb, H., Dunn, K., Garalde, D. R., Guillory, J., Ruzhnikov, M. R. Z., Wright, C., Wusthoff, C. J., Xiong, K., Hollander, S. A., Berry, G. J., Jain, M., Sedlazeck, F. J., Carroll, A., Paten, B. & Ashley, E. A.
Circ Genom Precis Med 15, e003591 (2022).
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पब्लिकेशन
Pangenomics enables genotyping of known structural variants in 5202 diverse genomesSirén, J., Monlong, J., Chang, X., Novak, A. M., Eizenga, J. M., Markello, C., Sibbesen, J. A., Hickey, G., Chang, P.-C., Carroll, A., Gupta, N., Gabriel, S., Blackwell, T. W., Ratan, A., Taylor, K. D., Rich, S. S., Rotter, J. I., Haussler, D., Garrison, E. & Paten, B.
Science 374 (2021).
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पब्लिकेशन
DeepNull models non-linear covariate effects to improve phenotypic prediction and association powerMcCaw, Z. R., Colthurst, T., Yun, T., Furlotte, N. A., Carroll, A., Alipanahi, B., McLean, C. Y. & Hormozdiari, F.
Nat. Commun. 13, 241 (2022).
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पब्लिकेशन
A population-specific reference panel for improved genotype imputation in African AmericansO’Connell, J., Yun, T., Moreno, M., Li, H., Litterman, N., Kolesnikov, A., Noblin, E., Chang, P.-C.,Shastri, A., Dorfman, E. H., Shringarpure, S., Auton, A., Carroll, A. & McLean, C. Y.
Communications Biology 4, 1–9 (2021).
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पब्लिकेशन
Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-readsShafin, K., Pesout, T., Chang, P.-C., Nattestad, M., Kolesnikov, A., Goel, S., Baid, G., Kolmogorov, M., Eizenga, J. M., Miga, K. H., Carnevali, P., Jain, M., Carroll, A. & Paten, B.
Nat. Methods 18, 1322–1332 (2021). [readcube]
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पब्लिकेशन
DeepConsensus: Gap-Aware Sequence Transformers for Sequence CorrectionBaid, G., Cook, D. E., Shafin, K., Yun, T., Llinares-López, F., Berthet, Q., Wenger, A. M., Rowell, W. J., Nattestad, M., Yang, H., Kolesnikov, A., Töpfer, A., Ammar, W., Vert, J.-P., Vaswani, A., McLean, C. Y., Chang, P.-C. & Carroll, A.
bioRxiv 2021.08.31.458403 (2021).
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पब्लिकेशन
Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphologyAlipanahi, B., Hormozdiari, F., Behsaz, B., Cosentino, J., McCaw, Z. R., Schorsch, E., Sculley, D., Dorfman, E. H., Foster, P. J., Peng, L. H., Phene, S., Hammel, N., Carroll, A., Khawaja, A. P. & McLean, C. Y.
Am. J. Hum. Genet. (2021).
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पब्लिकेशन
Accurate, scalable cohort variant calls using DeepVariant and GLnexusYun, T., Li, H., Chang, P-C., Lin, M., Carroll, A., & McLean, C. Y.
Bioinformatics 36, 5582-5589 (2021).
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पब्लिकेशन
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic RegressionYadlowsky, S., Yun, T., McLean, C. & D’Amour, A.
arXiv [stat.ML] (2021).
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पब्लिकेशन
Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphologyAlipanahi, B., Hormozdiari, F., Behsaz, B., Cosentino, J., McCaw, Z. R., Schorsch, E., Sculley, D., Dorfman, E. H., Phene, S., Hammel, N., Carroll, A., Khawaja, A. P. & McLean, C. Y.
arXiv [q-bio.GN] (2020).
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पब्लिकेशन
GenomeWarp: an alignment-based variant coordinate transformationMcLean, C. Y., Hwang, Y., Poplin, R. & DePristo, M. A.
Bioinformatics 35, 4389–4391 (2019).
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पब्लिकेशन
Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genomeWenger, A. M., Peluso, P., Rowell, W. J., Chang, P.-C., Hall, R. J., Concepcion, G. T., Ebler, J., Fungtammasan, A., Kolesnikov, A., Olson, N. D., Töpfer, A., Alonge, M., Mahmoud, M., Qian, Y., Chin, C.-S., Phillippy, A. M., Schatz, M. C., Myers, G., DePristo, M. A., Ruan, J., Marschall, T., Sedlazeck, F. J., Zook, J. M., Li, H., Koren, S., Carroll, A., Rank, D. R. & Hunkapiller, M. W.
Nat. Biotechnol. 37, 1155–1162 (2019). [readcube]
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पब्लिकेशन
A universal SNP and small-indel variant caller using deep neural networksPoplin, R., Chang, P.-C., Alexander, D., Schwartz, S., Colthurst, T., Ku, A., Newburger, D., Dijamco, J., Nguyen, N., Afshar, P. T., Gross, S. S., Dorfman, L., McLean, C. Y. & DePristo, M. A.
Nat. Biotechnol. 36, 983–987 (2018). [readcube]
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पब्लिकेशन
Deep learning of genomic variation and regulatory network dataTelenti, A., Lippert, C., Chang, P.-C. & DePristo, M.
Hum. Mol. Genet. 27, R63–R71 (2018).
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पब्लिकेशन
Sequential regulatory activity prediction across chromosomes with convolutional neural networksKelley, D. R., Reshef, Y. A., Bileschi, M., Belanger, D., McLean, C. Y. & Snoek, J.
Genome Res. 28, 739–750 (2018).
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ब्लॉग पोस्ट
Expanding research on digital wellbeingby Nicholas Allen
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Advancing health research with Google Health Studiesby Jon Morgan & Paul Eastham
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Audioplethysmography for cardiac monitoring with hearable devicesby Xiaoran "Van" Fan & Trausti Thormundsson
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The Check Up: our latest health AI developmentsby Greg Corrado
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Enhanced Sleep Sensing in Nest Hubby Michael Dixon & Reena Singhal Lee
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Need a better night’s sleep? Meet the new Nest Hubby Ashton Udall
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Contactless Sleep Sensing in Nest Hubby Michael Dixon & Reena Singhal Lee
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Take a pulse on health and wellness with your phoneby Shwetak Patel
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पब्लिकेशन
Smartphone-based gaze estimation for in-home autism researchKim, N. Y., He, J., Wu, Q., Dai, N., Kohlhoff, K., Turner, J., Paul, L. K., Kennedy, D. P., Adolphs, R. & Navalpakkam, V.
Autism Res. 17, 1140–1148 (2024).
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Soli-enabled noncontact heart rate detection for sleep and meditation trackingXu, L., Lien, J., Li, H., Gillian, N., Nongpiur, R., Li, J., Zhang, Q., Cui, J., Jorgensen, D., Bernstein, A., Bedal, L., Hayashi, E., Yamanaka, J., Lee, A., Wang, J., Shin, D., Poupyrev, I., Thormundsson, T., Pathak, A. & Patel, S.
Sci. Rep. 13, 18008 (2023).
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पब्लिकेशन
Audioplethysmography for Cardiac Monitoring in HearablesFan, X., Pearl, D., Howard, R., Shangguan, L. & Thormundsson, T. APG.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking 1–15. Association for Computing Machinery (2023).
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पब्लिकेशन
SimPer: Simple Self-Supervised Learning of Periodic TargetsYang, Y., Liu, X., Wu, J., Borac, S., Katabi, D., Poh, M.-Z. & McDuff, D.
arXiv [cs.LG] (ICLR 2023).
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पब्लिकेशन
Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithmsBae, S., Borac, S., Emre, Y., Wang, J., Wu, J., Kashyap, M., Kang, S.-H., Chen, L., Moran, M., Cannon, J., Teasley, E. S., Chai, A., Liu, Y., Wadhwa, N., Krainin, M., Rubinstein, M., Maciel, A., McConnell, M. V., Patel, S., Corrado, G. S., Taylor, J. A., Zhan, J. & Po, M. J.
bioRxiv (2021).
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पब्लिकेशन
LuckyChirp: Opportunistic Respiration Sensing Using Cascaded Sonar on Commodity Devices.Xue, Q. S., Shin, D., Pathak, A., Garrison, J., Hsu, J., Malhotra, M. & Patel, S.
2022 IEEE International Conference on Pervasive Computing and Communications (PerCom) 164–171 (IEEE, 2022).
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पब्लिकेशन
Sleep-wake Detection With a Contactless, Bedside Radar Sleep Sensing SystemDixon, M., Schneider, L. D., Yu, J., Hsu, J., Pathak, A., Shin, D., Lee, R. S., Malhotra, M., Mixter, K., McConnell, M. V., Taylor, J. A., Patel, S. N.,
Google Whitepaper (2021).
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पब्लिकेशन
Digital biomarker of mental fatigueTseng, V. W.-S., Valliappan, N., Ramachandran, V., Choudhury, T. & Navalpakkam, V.
NPJ Digit. Med. 4, 47 (2021).
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पब्लिकेशन
Accelerating eye movement research via accurate and affordable smartphone eye tracking.Valliappan, N., Dai, N., Steinberg, E., He, J., Rogers, K., Ramachandran, V., Xu, P., Shojaeizadeh, M., Guo, L., Kohlhoff, K. & Navalpakkam, V.
Nat. Commun. 11, 4553 (2020).
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Our progress on generative AI in healthby Yossi Matias
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3 ways we are building equity into our health workby Dr. Ivor Horn
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AMIE: A research AI system for diagnostic medical reasoning and conversationsby Alan Karthikesalingam & Vivek Natarajan
Google Research Blog | 12-Jan-2024
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3 predictions for AI in healthcare in 2024by Aashima Gupta
Google Keyword Blog | 9-Jan-2024
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ब्लॉग पोस्ट
MedLM: generative AI fine-tuned for the healthcare industryby Yossi Matias & Aashima Gupta
Google Cloud Blog | 13-Dec-2023
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ब्लॉग पोस्ट [más en el sitio Med-PaLM]
HLTH 2023: Bringing AI to health responsiblyby Michael Howell
Google Keyword Blog | 9-Oct-2023
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How AI can improve health for everyone, everywhereby Karen DeSalvo
Google Keyword Blog | 3-Oct-2023
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Multimodal medical AIby Greg Corrado and Yossi Matias
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Our latest health AI research updatesby Greg Corrado & Yossi Matias
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पब्लिकेशन
Scaling wearable foundation modelsNarayanswamy, G., Liu, X., Ayush, K., Yang, Y., Xu, X., Liao, S., Garrison, J., Tailor, S., Sunshine, J., Liu, Y., Althoff, T., Narayanan, S., Kohli, P., Zhan, J., Malhotra, M., Patel, S., Abdel-Ghaffar, S. & McDuff, D.
arXiv [cs.LG] (2024).
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पब्लिकेशन
Towards Democratization of Subspeciality Medical ExpertiseO'Sullivan, J.W., Palepu, A., Saab, K., Weng, W.H., Cheng, Y., Chu, E., Desai, Y., Elezaby, A., Kim, D.S., Lan, R. and Tang, W., 2024.
arXiv preprint arXiv:2410.03741 (2024).
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पब्लिकेशन
A toolbox for surfacing health equity harms and biases in large language modelsPfohl, S. R., Cole-Lewis, H., Sayres, R., Neal, D., Asiedu, M., Dieng, A., Tomasev, N., Rashid, Q. M., Azizi, S., Rostamzadeh, N., McCoy, L. G., Celi, L. A., Liu, Y., Schaekermann, M., Walton, A., Parrish, A., Nagpal, C., Singh, P., Dewitt, A., Mansfield, P., Prakash, S., Heller, K., Karthikesalingam, A., Semturs, C., Barral, J., Corrado, G., Matias, Y., Smith-Loud, J., Horn, I. & Singhal, K.
Nat Med (2024).
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पब्लिकेशन
PathAlign: A vision-language model for whole slide images in histopathologyAhmed, F., Sellergren, A., Yang, L., Xu, S., Babenko, B., Ward, A., Olson, N., Mohtashamian, A., Matias, Y., Corrado, G. S., Duong, Q., Webster, D. R., Shetty, S., Golden, D., Liu, Y., Steiner, D. F. & Wulczyn, E.
arXiv [cs.CV] (2024).
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पब्लिकेशन
Towards a Personal Health Large Language ModelCosentino, J., Belyaeva, A., Liu, X., Furlotte, N. A., Yang, Z., Lee, C., Schenck, E., Patel, Y., Cui, J., Schneider, L. D., Bryant, R., Gomes, R. G., Jiang, A., Lee, R., Liu, Y., Perez, J., Rogers, J. K., Speed, C., Tailor, S., Walker, M., Yu, J., Althoff, T., Heneghan, C., Hernandez, J., Malhotra, M., Stern, L., Matias, Y., Corrado, G. S., Patel, S., Shetty, S., Zhan, J., Prabhakara, S., McDuff, D. & McLean, C. Y.
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Transforming Wearable Data into Health Insights using Large Language Model AgentsMerrill, M. A., Paruchuri, A., Rezaei, N., Kovacs, G., Perez, J., Liu, Y., Schenck, E., Hammerquist, N., Sunshine, J., Tailor, S., Ayush, K., Su, H.-W., He, Q., McLean, C. Y., Malhotra, M., Patel, S., Zhan, J., Althoff, T., McDuff, D. & Liu, X.
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Tx-LLM: A Large Language Model for TherapeuticsChaves, J. M. Z., Wang, E., Tu, T., Vaishnav, E. D., Lee, B., Sara Mahdavi, S., Semturs, C., Fleet, D., Natarajan, V. & Azizi, S.
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Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM.Li, B., Wang, A., Strachan, P., Séguin, J. A., Lachgar, S., Schroeder, K. C., Fleck, M. S., Wong, R., Karthikesalingam, A., Natarajan, V., Matias, Y., Corrado, G. S., Webster, D., Liu, Y., Hammel, N., Sayres, R., Semturs, C. & Schaekermann, M.
in Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems 1–10 (Association for Computing Machinery, 2024).
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Advancing Multimodal Medical Capabilities of GeminiYang, L., Xu, S., Sellergren, A., Kohlberger, T., Zhou, Y., Ktena, I., Kiraly, A., Ahmed, F., Hormozdiari, F., Jaroensri, T., Wang, E., Wulczyn, E., Jamil, F., Guidroz, T., Lau, C., Qiao, S., Liu, Y., Goel, A., Park, K., Agharwal, A., George, N., Wang, Y., Tanno, R., Barrett, D. G. T., Weng, W.-H., Sara Mahdavi, S., Saab, K., Tu, T., Kalidindi, S. R., Etemadi, M., Cuadros, J., Sorensen, G., Matias, Y., Chou, K., Corrado, G., Barral, J., Shetty, S., Fleet, D., Ali Eslami, S. M., Tse, D., Prabhakara, S., McLean, C., Steiner, D., Pilgrim, R., Kelly, C., Azizi, S. & Golden, D.
arXiv [cs.CV] (2024).
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Capabilities of Gemini Models in MedicineSaab, K., Tu, T., Weng, W.-H., Tanno, R., Stutz, D., Wulczyn, E., Zhang, F., Strother, T., Park, C., Vedadi, E., Chaves, J. Z., Hu, S.-Y., Schaekermann, M., Kamath, A., Cheng, Y., Barrett, D. G. T., Cheung, C., Mustafa, B., Palepu, A., McDuff, D., Hou, L., Golany, T., Liu, L., Alayrac, J.-B., Houlsby, N., Tomasev, N., Freyberg, J., Lau, C., Kemp, J., Lai, J., Azizi, S., Kanada, K., Man, S., Kulkarni, K., Sun, R., Shakeri, S., He, L., Caine, B., Webson, A., Latysheva, N., Johnson, M., Mansfield, P., Lu, J., Rivlin, E., Anderson, J., Green, B., Wong, R., Krause, J., Shlens, J., Dominowska, E., Ali Eslami, S. M., Cui, C., Vinyals, O., Kavukcuoglu, K., Manyika, J., Dean, J., Hassabis, D., Matias, Y., Webster, D., Barral, J., Corrado, G., Semturs, C., Sara Mahdavi, S., Gottweis, J., Karthikesalingam, A. & Natarajan, V.
arXiv [cs.AI] (2024).
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Towards Generalist Biomedical AI.Tu, T., Azizi, S., Driess, D., Schaekermann, M., Amin, M., Chang, P.-C., Carroll, A., Lau, C., Tanno, R., Ktena, I., Mustafa, B., Chowdhery, A., Liu, Y., Kornblith, S., Fleet, D., Mansfield, P., Prakash, S., Wong, R., Virmani, S., Semturs, C., Sara Mahdavi, S., Green, B., Dominowska, E., Aguera y Arcas, B., Barral, J., Webster, D., Corrado, G. S., Matias, Y., Singhal, K., Florence, P., Karthikesalingam, A. & Natarajan, V.
NEJM AI (2024).
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Towards Conversational Diagnostic AITu, T., Palepu, A., Schaekermann, M., Saab, K., Freyberg, J., Tanno, R., Wang, A., Li, B., Amin, M., Tomasev, N., Azizi, S., Singhal, K., Cheng, Y., Hou, L., Webson, A., Kulkarni, K., Sara Mahdavi, S., Semturs, C., Gottweis, J., Barral, J., Chou, K., Corrado, G. S., Matias, Y., Karthikesalingam, A. & Natarajan, V.
arXiv [cs.AI] (2024).
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LLMs Accelerate Annotation for Medical Information Extraction.Goel, A., Gueta, A., Gilon, O., Liu, C., Erell, S., Nguyen, L. H., Hao, X., Jaber, B., Reddy, S., Kartha, R., Steiner, J., Laish, I. & Feder, A.
arXiv [cs.CL] (2023).
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Towards Accurate Differential Diagnosis with Large Language Models.McDuff, D., Schaekermann, M., Tu, T., Palepu, A., Wang, A., Garrison, J., Singhal, K., Sharma, Y., Azizi, S., Kulkarni, K., Hou, L., Cheng, Y., Liu, Y., Sara Mahdavi, S., Prakash, S., Pathak, A., Semturs, C., Patel, S., Webster, D. R., Dominowska, E., Gottweis, J., Barral, J., Chou, K., Corrado, G. S., Matias, Y., Sunshine, J., Karthikesalingam, A. & Natarajan, V.
arXiv [cs.CY] (2023)
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Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generationTanno, R., Barrett, D. G. T., Sellergren, A., Ghaisas, S., Dathathri, S., See, A., Welbl, J., Singhal, K., Azizi, S., Tu, T., Schaekermann, M., May, R., Lee, R., Man, S., Ahmed, Z., Mahdavi, S., Belgrave, D., Natarajan, V., Shetty, S., Kohli, P., Huang, P.-S., Karthikesalingam, A. & Ktena, I.
arXiv [eess.IV] (2023).
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The Capability of Large Language Models to Measure Psychiatric FunctioningGalatzer-Levy, I. R., McDuff, D., Natarajan, V., Karthikesalingam, A. & Malgaroli, M.
arXiv [cs.CL] (2023).
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ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encodersXu, S., Yang, L., Kelly, C., Sieniek, M., Kohlberger, T., Ma, M., Weng, W.-H., Kiraly, A., Kazemzadeh, S., Melamed, Z., Park, J., Strachan, P., Liu, Y., Lau, C., Singh, P., Chen, C., Etemadi, M., Kalidindi, S. R., Matias, Y., Chou, K., Corrado, G. S., Shetty, S., Tse, D., Prabhakara, S., Golden, D., Pilgrim, R., Eswaran, K. & Sellergren, A.
arXiv [cs.CV] (2023).
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Multimodal LLMs for health grounded in individual-specific dataBelyaeva, A., Cosentino, J., Hormozdiari, F., Eswaran, K., Shetty, S., Corrado, G., Carroll, A., McLean, C. Y. & Furlotte, N. A.
arXiv [q-bio.QM] (2023).
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Large Language Models are Few-Shot Health LearnersLiu, X., McDuff, D., Kovacs, G., Galatzer-Levy, I., Sunshine, J., Zhan, J., Poh, M.-Z., Liao, S., Di Achille, P. & Patel, S.
arXiv [cs.CL] (2023).
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Towards Expert-Level Medical Question Answering with Large Language ModelsSinghal, K., Tu, T., Gottweis, J., Sayres, R., Wulczyn, E., Hou, L., Clark, K., Pfohl, S., Cole-Lewis, H., Neal, D., Schaekermann, M., Wang, A., Amin, M., Lachgar, S., Mansfield, P., Prakash, S., Green, B., Dominowska, E., Aguera y Arcas, B., Tomasev, N., Liu, Y., Wong, R., Semturs, C., Sara Mahdavi, S., Barral, J., Webster, D., Corrado, G. S., Matias, Y., Azizi, S., Karthikesalingam, A. & Natarajan, V.
arXiv [cs.CL] (2023).
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Large Language Models Encode Clinical KnowledgeSinghal, K., Azizi, S., Tu, T., Sara Mahdavi, S., Wei, J., Chung, H. W., Scales, N., Tanwani, A., Cole-Lewis, H., Pfohl, S., Payne, P., Seneviratne, M., Gamble, P., Kelly, C., Scharli, N., Chowdhery, A., Mansfield, P., Aguera y Arcas, B., Webster, D., Corrado, G. S., Matias, Y., Chou, K., Gottweis, J., Tomasev, N., Liu, Y., Rajkomar, A., Barral, J., Semturs, C., Karthikesalingam, A. & Natarajan, V.
Nature (2023)
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ब्लॉग पोस्ट
This AI model is helping researchers detect disease based on coughsby Shravya Shetty
Google Research Blog | 19-Aug-2024
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Joint Speech Recognition and Speaker Diarization via Sequence Transductionby Laurent El Shafey and Izhak Shafran
Google Research Blog | 16-Aug-2019
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How AI can improve products for people with impaired speechby Julie Cattiau
Google Keyword Blog | 7-May-2019
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Understanding Medical Conversationsby Katherine Chou & Chung-Cheng Chiu
Google Research Blog | 21-Nov-2017
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HeAR -- Health Acoustic RepresentationsBaur, S., Nabulsi, Z., Weng, W.-H., Garrison, J., Blankemeier, L., Fishman, S., Chen, C., Kakarmath, S., Maimbolwa, M., Sanjase, N., Shuma, B., Matias, Y., Corrado, G. S., Patel, S., Shetty, S., Prabhakara, S., Muyoyeta, M. & Ardila, D.
arXiv [cs.LG] (2024).
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Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic SignalsBlankemeier, L., Baur, S., Weng, W.-H., Garrison, J., Matias, Y., Prabhakara, S., Ardila, D. & Nabulsi, Z.
arXiv [cs.LG] (2023).
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Medical Scribe: Corpus Development and Model Performance AnalysesShafran, I., Du, N., Tran, L., Perry, A., Keyes, L., Knichel, M., Domin, A., Huang, L., Chen, Y., Li, G., Wang, M., El Shafey, L., Soltau, H. & Paul, J. S.
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Extracting Symptoms and their Status from Clinical ConversationsDu, N., Chen, K., Kannan, A., Tran, L., Chen, Y. & Shafran, I.
Proceedings of the Annual Meeting of the Association of Computational Linguistics. arXiv [cs.LG] (2019).
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Automatically Charting Symptoms From Patient-Physician Conversations Using Machine LearningRajkomar, A., Kannan, A., Chen, K., Vardoulakis, L., Chou, K., Cui, C., & Dean, J.
JAMA Intern. Med. 179, 836–838 (2019).
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Joint Speech Recognition and Speaker Diarization via Sequence TransductionEl Shafey, L., Soltau, H. & Shafran, I.
Proceedings of Interspeech. arXiv [cs.CL] (2019).
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Learning to Infer Entities, Properties and their Relations from Clinical ConversationsDu, N., Wang, M., Tran, L., Li, G. & Shafran, I.
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Speech recognition for medical conversationsChiu, C.-C., Tripathi, A., Chou, K., Co, C., Jaitly, N., Jaunzeikare, D., Kannan, A., Nguyen, P., Sak, H., Sankar, A., Tansuwan, J., Wan, N., Wu, Y., & Zhang X.
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Deciphering clinical abbreviations with privacy protecting MLby Alvin Rajkoma and Eric Loreaux
Google Research Blog | 24-Jan-2023
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EHR-Safe: Generating High-Fidelity and Privacy-Preserving Synthetic Electronic Health Recordsby Jinsung Yoon and Sercan O. Arik
Google Research Blog | 21-Dec-2022
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Multi-task Prediction of Organ Dysfunction in ICUsby Subhrajit Roy & Diana Mincu
Google Research Blog | 22-Jul-2021
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A Step Towards Protecting Patients from Medication Errorsby Kathryn Rough & Alvin Rajkomar
Google Research Blog | 2-Apr-2020
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Expanding the Application of Deep Learning to Electronic Health Recordsby Alvin Rajkomar & Eyal Oren
Google Research Blog | 22-Jan-2019
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Scaling Streams with Googleby Demis Hassabis & Mustafa Suleyman & Dominic King
DeepMind Blog | 13-Nov-2018
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Deep Learning for Electronic Health Recordsby Alvin Rajkomar & Eyal Oren
Google Research Blog | 8-May-2018
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Making Healthcare Data Work Better with Machine Learningby Patrik Sundberg & Eyal Oren
Google Research Blog | 2-Mar-2018
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User-centred design for machine learning in health care: a case study from care managementSeneviratne, M. G., Li, R. C., Schreier, M., Lopez-Martinez, D., Patel, B. S., Yakubovich, A., Kemp, J. B., Loreaux, E., Gamble, P., El-Khoury, K., Vardoulakis, L., Wong, D., Desai, J., Chen, J. H., Morse, K. E., Downing, N. L., Finger, L. T., Chen, M.-J. & Shah, N.
BMJ Health Care Inform 29, (2022).
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Boosting the interpretability of clinical risk scores with intervention predictionsLoreaux, E., Yu, K., Kemp, J., Seneviratne, M., Chen, C., Roy, S., Protsyuk, I., Harris, N., D’Amour, A., Yadlowsky, S. & Chen, M.-J.
arXiv [cs.LG] (2022).
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Deciphering clinical abbreviations with a privacy protecting machine learning systemRajkomar, A., Loreaux, E., Liu, Y., Kemp, J., Li, B., Chen, M.-J., Zhang, Y., Mohiuddin, A. & Gottweis, J.
Nat. Commun. 13, 7456 (2022).
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Structured understanding of assessment and plans in clinical documentationStupp, D., Barequet, R., Lee, I.-C., Oren, E., Feder, A., Benjamini, A., Hassidim, A., Matias, Y., Ofek, E. & Rajkomar, A.
bioRxiv (2022).
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Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routingRoy, S., Mincu, D., Loreaux, E., Mottram, A., Protsyuk, I., Harris, N., Xue, Y., Schrouff, J., Montgomery, H., Connell, A., Tomasev, N., Karthikesalingam, A. & Seneviratne, M.
J. Am. Med. Inform. Assoc. (2021).
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Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health recordsTomašev, N., Harris, N., Baur, S., Mottram, A., Glorot, X., Rae, J. W., Zielinski, M., Askham, H., Saraiva, A., Magliulo, V., Meyer, C., Ravuri, S., Protsyuk, I., Connell, A., Hughes, C. O., Karthikesalingam, A., Cornebise, J., Montgomery, H., Rees, G., Laing, C., Baker, C. R., Osborne, T. F., Reeves, R., Hassabis, D., King, D., Suleyman, M., Back, T., Nielson, C., Seneviratne, M. G., Ledsam, J. R. & Mohamed, S.
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Learning to Select Best Forecast Tasks for Clinical Outcome PredictionXue Y, Du N, Mottram A, Seneviratne A, Dai AM.
NeurIPS (2020).
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Deep State-Space Generative Model For Correlated Time-to-Event PredictionsXue Y, Zhou D, Du N, Dai A, Xu Z, Zhang K, Cui C.
KDD (2020).
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Graph convolutional transformer: Learning the graphical structure of electronic health recordsChoi E, Xu Z, Li Y, Dusenberry MW, Flores G, Xue Y, Dai AM.
AAAI (2020).
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Analyzing the role of model uncertainty for electronic health recordsDusenberry MW, Tran D, Choi E, Kemp J, Nixon J, Jerfel G, Heller K, & Dai AM.
ACM CHIL (2020).
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Explaining an increase in predicted risk for clinical alertsHardt M, Rajkomar A, Flores G, Dai A, Howell M, Corrado G, Cui C, & Hardt M.
ACM CHIL (2020).
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Predicting inpatient medication orders from electronic health record dataRough, K., Dai, A. M., Zhang, K., Xue, Y., Vardoulakis, L. M., Cui, C., Butte, A. J., Howell, M. D. & Rajkomar, A.
Clin. Pharmacol. Ther. 108, 145–154 (2020).
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A clinically applicable approach to continuous prediction of future acute kidney injuryTomašev, N., Glorot, X., Rae, J. W., Zielinski, M., Askham, H., Saraiva, A., Mottram, A., Meyer, C., Ravuri, S., Protsyuk, I., Connell, A., Hughes, C. O., Karthikesalingam, A., Cornebise, J., Montgomery, H., Rees, G., Laing, C., Baker, C. R., Peterson, K., Reeves, R., Hassabis, D., King, D., Suleyman, M., Back, T., Nielson, C., Ledsam, J. R. & Mohamed, S.
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Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissionsConnell, A., Montgomery, H., Martin, P., Nightingale, C., Sadeghi-Alavijeh, O., King, D., Karthikesalingam, A., Hughes, C., Back, T., Ayoub, K., Suleyman, M., Jones, G., Cross, J., Stanley, S., Emerson, M., Merrick, C., Rees, G., Laing, C. & Raine, R.
npj Digit Med 2, 67 (2019).
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Implementation of a Digitally Enabled Care Pathway (Part 1): Impact on Clinical Outcomes and Associated Health Care CostsConnell A., Raine R., Martin P., Barbosa E.C., Morris S., Nightingale C., Sadeghi-Alavijeh O., King D., Karthikesalingam A., Hughes C., Back T., Ayoub K., Suleyman M., Jones G., Cross J., Stanley S., Emerson M., Merrick C., Rees G., Montgomery H., & Laing C.
J Med Internet Res 21(7):e13147 (2019).
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Implementation of a Digitally Enabled Care Pathway (Part 2): Qualitative Analysis of Experiences of Health Care ProfessionalsConnell A, Black G, Montgomery H, Martin P, Nightingale C, King D, Karthikesalingam A, Hughes C, Back T, Ayoub K, Suleyman M, Jones G, Cross J, Stanley S, Emerson M, Merrick C, Rees G, Laing C, & Raine R.
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Improved Patient Classification with Language Model Pretraining Over Clinical NotesKemp J, Rajkomar A, & Dai AM.
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Federated and Differentially Private Learning for Electronic Health RecordsPfohl SR, Dai AM, & Heller K.
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Deep Physiological State Space Model for Clinical ForecastingXue Y, Zhou D, Du N, Dai AM, Xu Z, Zhang K,& Cui C.
arXiv [cs.LG] (2019).
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Modelling EHR timeseries by restricting feature interactionZhang K, Xue Y, Flores G, Rajkomar A, Cui C, & Dai AM.
arXiv [cs.LG] (2019).
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Scalable and accurate deep learning with electronic health recordsRajkomar A, Oren E, Chen K, Dai AM, Hajaj N, Hardt M, Liu PJ, Liu X, Marcus J, Sun M, Sundberg P, Yee H, Zhang K, Zhang Y, Flores G, Duggan GE, Irvine J, Le Q, Litsch K, Mossin A, Tansuwan J, Wang, Wexler J, Wilson J, Ludwig D, Volchenboum SL, Chou K, Pearson M, Madabushi S, Shah NH, Butte AJ, Howell MD, Cui C, Corrado GS, Dean J.
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A step towards making heart health screening accessible for billions with PPG signalsby Mayank Daswani & Sujay Kakarmath
Google Research Blog | 25-Jul-2024
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Using generative AI to investigate medical imagery models and datasetsby Oran Lang & Heather Cole-Lewis
Google Research Blog | 5-Jun-2024
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Developing an aging clock using deep learning on retinal imagesby Sara Ahadi & Andrew Carroll
Google Research Blog | 11-Apr-2023
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Detecting novel systemic biomarkers in external eye photoby Boris Babenko & Akib Uddin
Google Research Blog | 24-Mar-2023
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The Check Up: our latest health AI developmentsby Greg Corrado
Google Research Blog | 24-Mar-2022
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Detecting Signs of Disease from External Images of the Eyeby Boris Babenko & Naama Hammel
Google Research Blog | 24-Mar-2022
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How AI could predict sight-threatening eye conditionsby Terry Spitz & Jim Winkens
Google Keyword Blog | 18-May-2020
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Using AI to predict retinal disease progressionby Jason Yim, Reena Chopra, Jeffrey De Fauw & Joseph Ledsam
DeepMind Blog | 18-May-2020
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Detecting hidden signs of anemia from the eyeby Akinori Mitani
Google Keyword Blog | 28-Jan-2020
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Assessing Cardiovascular Risk Factors with Computer Visionby Lily Peng
Google Research Blog | 2-Feb-2018
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Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep LearningWeng, W.-H., Baur, S., Daswani, M., Chen, C., Harrell, L., Kakarmath, S., Jabara, M., Behsaz, B., McLean, C. Y., Matias, Y., Corrado, G. S., Shetty, S., Prabhakara, S., Liu, Y., Danaei, G. & Ardila, D.
PLOS Global Public Health. 4(6): e0003204 (2024).
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Using generative AI to investigate medical imagery models and datasetsLang, O., Yaya-Stupp, D., Traynis, I., Cole-Lewis, H., Bennett, C. R., Lyles, C. R., Lau, C., Irani, M., Semturs, C., Webster, D. R., Corrado, G. S., Hassidim, A., Matias, Y., Liu, Y., Hammel, N. & Babenko, B.
EBioMedicine 102, 105075 (2024).
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Longitudinal fundus imaging and its genome-wide association analysis provide evidence for a human retinal aging clockAhadi, S., Wilson, K. A., Jr, Babenko, B., McLean, C. Y., Bryant, D., Pritchard, O., Kumar, A., Carrera, E. M., Lamy, R., Stewart, J. M., Varadarajan, A., Berndl, M., Kapahi, P. & Bashir, A.
Elife 12, (2023).
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A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study.Babenko, B., Traynis, I., Chen, C., Singh, P., Uddin, A., Cuadros, J., Daskivich, L. P., Maa, A. Y., Kim, R., Kang, E. Y.-C., Matias, Y., Corrado, G. S., Peng, L., Webster, D. R., Semturs, C., Krause, J., Varadarajan, A. V., Hammel, N. & Liu, Y.
The Lancet Digital Health (2023).
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Detection of signs of disease in external photographs of the eyes via deep learningBabenko, B., Mitani, A., Traynis, I., Kitade, N., Singh, P., Maa, A. Y., Cuadros, J., Corrado, G. S., Peng, L., Webster, D. R., Varadarajan, A., Hammel, N. & Liu, Y.
Nat Biomed Eng (2022).
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पब्लिकेशन
Deep learning to detect optical coherence tomography-derived diabetic macular edema from retinal photographs: a multicenter validation studyLiu, X., Ali, T. K., Singh, P., Shah, A., McKinney, S. M., Ruamviboonsuk, P., Turner, A. W., Keane, P. A., Chotcomwongse, P., Nganthavee, V., Chia, M., Huemer, J., Cuadros, J., Raman, R., Corrado, G. S., Peng, L., Webster, D. R., Hammel, N., Varadarajan, A. V., Liu, Y., Chopra, R. & Bavishi, P.
Ophthalmol Retina (2022).
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पब्लिकेशन
Retinal fundus photographs capture hemoglobin loss after blood donationMitani, A., Traynis, I., Singh, P., Corrado, G. S., Webster, D. R., Peng, L. H., Varadarajan, A. V., Liu, Y. & Hammel, N.
doi:10.1101/2021.12.30.21268488
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पब्लिकेशन
Predicting the risk of developing diabetic retinopathy using deep learningBora, A., Balasubramanian, S., Babenko, B., Virmani, S., Venugopalan, S., Mitani, A., de Oliveira Marinho, G., Cuadros, J., Ruamviboonsuk, P., Corrado, G. S., Peng, L., Webster, D. R., Varadarajan, A. V., Hammel, N., Liu, Y. & Bavishi, P.
The Lancet Digital Health (2020). doi:10.1016/S2589-7500(20)30250-8
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पब्लिकेशन
Quantitative analysis of optical coherence tomography for neovascular age-related macular degeneration using deep learningMoraes, G., Fu, D. J., Wilson, M., Khalid, H., Wagner, S. K., Korot, E., Ferraz, D., Faes, L., Kelly, C. J., Spitz, T., Patel, P. J., Balaskas, K., Keenan, T. D. L., Keane, P. A. & Chopra, R.
Ophthalmology (2020). doi:10.1016/j.ophtha.2020.09.025
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पब्लिकेशन
Scientific Discovery by Generating Counterfactuals Using Image TranslationNarayanaswamy, A., Venugopalan, S., Webster, D. R., Peng, L., Corrado, G. S., Ruamviboonsuk, P., Bavishi, P., Brenner, M., Nelson, P. C. & Varadarajan, A. V.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 273–283 (2020). doi:10.1007/978-3-030-59710-8_27 arXiv
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पब्लिकेशन
Predicting conversion to wet age-related macular degeneration using deep learningYim, J., Chopra, R., Spitz, T., Winkens, J., Obika, A., Kelly, C., Askham, H., Lukic, M., Huemer, J., Fasler, K., Moraes, G., Meyer, C., Wilson, M., Dixon, J., Hughes, C., Rees, G., Khaw, P. T., Karthikesalingam, A., King, D., Hassabis, D., Suleyman, M., Back, T., Ledsam, J. R., Keane, P. A. & De Fauw, J.
Nat. Med. (2020). [readcube]
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पब्लिकेशन
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learningVaradarajan, A. V., Bavishi, P., Ruamviboonsuk, P., Chotcomwongse, P., Venugopalan, S., Narayanaswamy, A., Cuadros, J., Kanai, K., Bresnick, G., Tadarati, M., Silpa-Archa, S., Limwattanayingyong, J., Nganthavee, V., Ledsam, J. R., Keane, P. A., Corrado, G. S., Peng, L. & Webster, D. R.
Nat. Commun. 11, 130 (2020).
-
पब्लिकेशन
Detection of anaemia from retinal fundus images via deep learningMitani, A., Huang, A., Venugopalan, S., Corrado, G. S., Peng, L., Webster, D. R., Hammel, N., Liu, Y. & Varadarajan, A. V.
Nat Biomed Eng (2019). [readcube]
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पब्लिकेशन
Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep LearningBabenko, B., Balasubramanian, S., Blumer, K. E., Corrado, G. S., Peng, L., Webster, D. R., Hammel, N. & Varadarajan, A. V.
arXiv [cs.CV] (2019).
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पब्लिकेशन
Deep Learning for Predicting Refractive Error From Retinal Fundus Imagesaradarajan, A.V., Poplin, R., Blumer, K., Angermueller, C., Lesdam, J., Chopra, R., Keane, P.A., Corrado, G. S., Peng, L., Webster, D. R.
Invest. Ophthalmol. Vis. Sci. 59, 2861–2868 (2018).
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पब्लिकेशन
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learningPoplin, R., Varadarajan, A. V., Blumer, K., Liu, Y., McConnell, M. V., Corrado, G. S., Peng, L., & Webster, D. R.
Nat. Biomed. Eng. 2, 158–164 (2018). [readcube]
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A full-STAC remedy for global digital health transformation: open standards, technologies, architectures and contentMehl, G. L., Seneviratne, M. G., Berg, M. L., Bidani, S., Distler, R. L., Gorgens, M., Kallander, K. E., Labrique, A. B., Landry, M. S., Leitner, C., Lubell-Doughtie, P. B., Marcelo, A. D., Matias, Y., Nelson, J., Nguyen, V., Nsengimana, J. P., Orton, M., Otzoy Garcia, D. R., Oyaole, D. R., Ratanaprayul, N., Roth, S., Schaefer, M. P., Settle, D., Tang, J., Tien-Wahser, B., Wanyee, S. & Hersch, F.
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Collaborative Momentum: The 2023 State of the Digital Public Goods Ecosystem ReportDigital Public Goods Alliance - Promoting digital public goods to create a more equitable world (2023). 14-Dec-2023.
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पब्लिकेशन
PathAlign: A vision-language model for whole slide images in histopathologyAhmed, F., Sellergren, A., Yang, L., Xu, S., Babenko, B., Ward, A., Olson, N., Mohtashamian, A., Matias, Y., Corrado, G. S., Duong, Q., Webster, D. R., Shetty, S., Golden, D., Liu, Y., Steiner, D. F. & Wulczyn, E.
arXiv [cs.CV] (2024)
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पब्लिकेशन
Estrogen receptor gene expression prediction from H&E whole slide imagesSrinivas, A. A., Jaroensri, R., Wulczyn, E., Liu, Y., Wren, J. H., Thompson, E. E., Olson, N., Beckers, F., Miao, M., Chen, P.-H. C. & Steiner, D. F.
bioRxiv (2024).
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पब्लिकेशन
An End-to-End Platform for Digital Pathology Using Hyperspectral Autofluorescence Microscopy and Deep Learning-Based Virtual HistologyMcNeil, C., Wong, P. F., Sridhar, N., Wang, Y., Santori, C., Wu, C.-H., Homyk, A., Gutierrez, M., Behrooz, A., Tiniakos, D., Burt, A. D., Pai, R. K., Tekiela, K., Cameron Chen, P.-H., Fischer, L., Martins, E. B., Seyedkazemi, S., Freedman, D., Kim, C. C. & Cimermancic, P.
Mod. Pathol. 37, 100377 (2023).
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पब्लिकेशन
Domain-specific optimization and diverse evaluation of self-supervised models for histopathologyLai, J., Ahmed, F., Vijay, S., Jaroensri, T., Loo, J., Vyawahare, S., Agarwal, S., Jamil, F., Matias, Y., Corrado, G. S., Webster, D. R., Krause, J., Liu, Y., Chen, P.-H. C., Wulczyn, E. & Steiner, D. F.
arXiv [eess.IV] (2023).
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पब्लिकेशन
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learningKrogue, J. D., Azizi, S., Tan, F., Flament-Auvigne, I., Brown, T., Plass, M., Reihs, R., Müller, H., Zatloukal, K., Richeson, P., Corrado, G. S., Peng, L. H., Mermel, C. H., Liu, Y., Chen, P.-H. C., Gombar, S., Montine, T., Shen, J., Steiner, D. F. & Wulczyn, E.
Commun. Med. 3, 59 (2023).
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पब्लिकेशन
Pathologist Validation of a Machine Learning-Derived Feature for Colon Cancer Risk StratificationL’Imperio, V., Wulczyn, E., Plass, M., Müller, H., Tamini, N., Gianotti, L., Zucchini, N., Reihs, R., Corrado, G. S., Webster, D. R., Peng, L. H., Chen, P.-H. C., Lavitrano, M., Liu, Y., Steiner, D. F., Zatloukal, K. & Pagni, F.
JAMA Netw Open 6, e2254891 (2023).
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पब्लिकेशन
Deep learning models for histologic grading of breast cancer and association with disease prognosisJaroensri, R., Wulczyn, E., Hegde, N., Brown, T., Flament-Auvigne, I., Tan, F., Cai, Y., Nagpal, K., Rakha, E. A., Dabbs, D. J., Olson, N., Wren, J. H., Thompson, E. E., Seetao, E., Robinson, C., Miao, M., Beckers, F., Corrado, G. S., Peng, L. H., Mermel, C. H., Liu, Y., Steiner, D. F. & Chen, P.-H. C.
npj Breast Cancer 8, 1–12 (2022).
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पब्लिकेशन
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challengeBulten, W., Kartasalo, K., Chen, P.-H. C., Ström, P., Pinckaers, H., Nagpal, K., Cai, Y., Steiner, D. F., van Boven, H., Vink, R., Hulsbergen-van de Kaa, C., van der Laak, J., Amin, M. B., Evans, A. J., van der Kwast, T., Allan, R., Humphrey, P. A., Grönberg, H., Samaratunga, H., Delahunt, B., Tsuzuki, T., Häkkinen, T., Egevad, L., Demkin, M., Dane, S., Tan, F., Valkonen, M., Corrado, G. S., Peng, L., Mermel, C. H., Ruusuvuori, P., Litjens, G. & Eklund, M.
Nat. Med. 1–10 (2022).
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पब्लिकेशन
Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology imagesSadhwani, A., Chang, H.-W., Behrooz, A., Brown, T., Auvigne-Flament, I., Patel, H., Findlater, R., Velez, V., Tan, F., Tekiela, K., Wulczyn, E., Yi, E. S., Mermel, C. H., Hanks, D., Chen, P.-H. C., Kulig, K., Batenchuk, C., Steiner, D. F. & Cimermancic, P.
Sci. Rep. 11, 1–11 (2021).
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पब्लिकेशन
Determining breast cancer biomarker status and associated morphological features using deep learningGamble, P., Jaroensri, R., Wang, H., Tan, F., Moran, M., Brown, T., Flament-Auvigne, I., Rakha, E. A., Toss, M., Dabbs, D. J., Regitnig, P., Olson, N., Wren, J. H., Robinson, C., Corrado, G. S., Peng, L. H., Liu, Y., Mermel, C. H., Steiner, D. F. & Chen, P.-H. C.
Communications Medicine 1, 1–12 (2021).
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पब्लिकेशन
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason gradingWulczyn, E., Nagpal, K., Symonds, M., Moran, M., Plass, M., Reihs, R., Nader, F., Tan, F., Cai, Y., Brown, T., Flament-Auvigne, I., Amin, M. B., Stumpe, M. C., Müller, H., Regitnig, P., Holzinger, A., Corrado, G. S., Peng, L. H., Chen, P.-H. C., Steiner, D. F., Zatloukal, K., Liu, Y. & Mermel, C. H.
Communications Medicine 1, 1–8 (2021).
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पब्लिकेशन
Onboarding Materials as Boundary Objects for Developing AI AssistantsCai, C.J., Steiner, D., Wilcox, L., Terry, M. and Winter, S.
Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, ACM (2021).
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पब्लिकेशन
Interpretable survival prediction for colorectal cancer using deep learningWulczyn, E., Steiner, D. F., Moran, M., Plass, M., Reihs, R., Tan, F., Flament-Auvigne, I., Brown, T., Regitnig, P., Chen, P.-H. C., Hegde, N., Sadhwani, A., MacDonald, R., Ayalew, B., Corrado, G. S., Peng, L. H., Tse, D., Müller, H., Xu, Z., Liu, Y., Stumpe, M. C., Zatloukal, K. & Mermel, C. H.
npj Digital Medicine 4, 1–13 (2021).
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पब्लिकेशन
Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate BiopsiesSteiner, D. F., Nagpal, K., Sayres, R., Foote, D. J., Wedin, B. D., Pearce, A., Cai, C. J., Winter, S. R., Symonds, M., Yatziv, L., Kapishnikov, A., Brown, T., Flament-Auvigne, I., Tan, F., Stumpe, M. C., Jiang, P.-P., Liu, Y., Chen, P.-H. C., Corrado, G. S., Terry, M. & Mermel, C. H.
JAMA Netw Open 3, e2023267–e2023267 (2020).
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पब्लिकेशन
Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy SpecimensNagpal, K., Foote, D., Tan, F., Liu, Y., Chen, P.-H. C., Steiner, D. F., Manoj, N., Olson, N., Smith, J. L., Mohtashamian, A., Peterson, B., Amin, M. B., Evans, A. J., Sweet, J. W., Cheung, C., van der Kwast, T., Sangoi, A. R., Zhou, M., Allan, R., Humphrey, P. A., Hipp, J. D., Gadepalli, K., Corrado, G. S., Peng, L. H., Stumpe, M. C. & Mermel, C. H.
JAMA Oncol (2020).
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पब्लिकेशन
Deep learning-based survival prediction for multiple cancer types using histopathology imagesWulczyn, E., Steiner, D. F., Xu, Z., Sadhwani, A., Wang, H., Flament-Auvigne, I., Mermel, C. H., Chen, P.-H. C., Liu, Y. & Stumpe, M. C.
PLOS ONE 15, e0233678 (2020).
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पब्लिकेशन
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer DetectionKohlberger, T., Liu, Y., Moran, M., Chen, P.-H. C., Brown, T., Hipp, J. D., Mermel, C. H. & Stumpe, M. C.
J. Pathol. Inform. 10, 39 (2019).
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पब्लिकेशन
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosisChen, P.C., Gadepalli, K., MacDonald, R., Liu, Y., Kadowaki, S., Nagpal, K., Kohlberger, T., Dean, J., Corrado, G.S., Hipp, J.D., Mermel, C.H., Stumpe, M. C.
Nat Med 25, 1453–1457 (2019). [readcube]
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पब्लिकेशन
Artificial Intelligence-Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for PathologistsLiu, Y., Kohlberger, T., Norouzi, M., Dahl, G. E., Smith, J. L., Mohtashamian, A., Olson, N., Peng, L.H., Hipp, J.D., Stumpe, M.C. (2019).
Arch. Pathol. Lab. Med. 143, 859–868 (2019).
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पब्लिकेशन
Similar image search for histopathology: SMILYHegde, N., Hipp, J. D., Liu, Y., Emmert-Buck, M., Reif, E., Smilkov, D., Terry, M., Cai, C. J., Amin, M. B., Mermel, C. H., Nelson, P. Q., Peng, L. H., Corrado, G. S. & Stumpe, M. C.
npj Digit Med 2, 56 (2019).
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पब्लिकेशन
"Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-MakingCai, C.J., Winter, S., Steiner, D., Wilcox, L. and Terry, M.
Proceedings of the ACM on Human-computer Interaction, 3(CSCW), pp.1-24 (2019)
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पब्लिकेशन
Human-centered tools for coping with imperfect algorithms during medical decision-makingCai, C.J., Reif, E., Hegde, N., Hipp, J., Kim, B., Smilkov, D., Wattenberg, M., Viegas, F., Corrado, G.S., Stumpe, M.C. and Terry, M.
In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-14) (2019).
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पब्लिकेशन
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancerNagpal, K., Foote, D., Liu, Y., Chen, P.H.C., Wulczyn, E., Tan, F., Olson, N., Smith, J.L., Mohtashamian, A., Wren, J.H., Corrado, G.S., MacDonald, R., Peng, L. H., Amin, M.B., Evans, A.J., Sanjoi, A.R., Mermel, C. H., Hipp, J. D., Stumpe, M. C.
npj Digit. Med. 2, 48 (2019).
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पब्लिकेशन
Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast CancerSteiner, D. F., MacDonald, R., Liu, Y., Truszkowski, P., Hipp, J. D., Gammage, C., Thng, F., Peng, L., Stumpe, M.C.
Am. J. Surg. Pathol. 42, 1636–1646 (2018).
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पब्लिकेशन
Detecting cancer metastases on gigapixel pathology imagesLiu, Y., Gadepalli, K., Norouzi, M., Dahl, G.E., Kohlberger, T., Boyko, A., Venugopalan, S., Timofeev, A., Nelson, P.Q., Corrado, G.S. and Hipp, J.D., Peng, L., Stumpe, M. C.
arXiv preprint arXiv:1703.02442 (2017).
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Helping public health officials combat COVID-19by Jen Fitzpatrick & Karen DeSalvo
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Quantifying urban park use in the USA at scale: empirical estimates of realised park usage using smartphone location dataYoung, M. T., Vispute, S., Serghiou, S., Kumok, A., Shah, Y., Lane, K. J., Black-Ingersoll, F., Brochu, P., Bharel, M., Skenazy, S., Karthikesalingam, A., Bavadekar, S., Kansal, M., Shekel, T., Gabrilovich, E. & Wellenius, G. A.
Lancet Planet Health 8, e564–e573 (2024).
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पब्लिकेशन
Geographical accessibility to functional emergency obstetric care facilities in urban Nigeria using closer-to-reality travel time estimates: a population-based spatial analysis.Banke-Thomas, A., Wong, K. L. M., Olubodun, T., Macharia, P. M., Sundararajan, N., Shah, Y., Prasad, G., Kansal, M., Vispute, S., Shekel, T., Ogunyemi, O., Gwacham-Anisiobi, U., Wang, J., Abejirinde, I.-O. O., Makanga, P. T., Azodoh, N., Nzelu, C., Afolabi, B. B., Stanton, C. & Beňová, L.
The Lancet Global Health 12, e848–e858 (2024).
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पब्लिकेशन
Socio-spatial equity analysis of relative wealth index and emergency obstetric care accessibility in urban NigeriaWong, K. L. M., Banke-Thomas, A., Olubodun, T., Macharia, P. M., Stanton, C., Sundararajan, N., Shah, Y., Prasad, G., Kansal, M., Vispute, S., Shekel, T., Ogunyemi, O., Gwacham-Anisiobi, U., Wang, J., Abejirinde, I.-O. O., Makanga, P. T., Afolabi, B. B. & Beňová, L.
Commun. Med. 4, 34 (2024).
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पब्लिकेशन
Revealed versus potential spatial accessibility of healthcare and changing patterns during the COVID-19 pandemicGligorić, K., Kamath, C., Weiss, D. J., Bavadekar, S., Liu, Y., Shekel, T., Schulman, K. & Gabrilovich, E.
Communications Medicine 3, 1–11 (2023).
-
पब्लिकेशन
A geospatial database of close-to-reality travel times to obstetric emergency care in 15 Nigerian conurbationsMacharia, P. M., Wong, K. L. M., Olubodun, T., Beňová, L., Stanton, C., Sundararajan, N., Shah, Y., Prasad, G., Kansal, M., Vispute, S., Shekel, T., Gwacham-Anisiobi, U., Ogunyemi, O., Wang, J., Abejirinde, I.-O. O., Makanga, P. T., Afolabi, B. B. & Banke-Thomas, A.
Sci Data 10, 736 (2023).
-
पब्लिकेशन
Comparing access to urban parks across six OECD countriesVeneri, P., Kaufmann, T., Vispute, S., Shekel, T., Gabrilovich, E., Wellenius, G. A., Dijkstra, L. & Kansal, M.
(Organisation for Economic Co-Operation and Development (OECD), 2023).
-
पब्लिकेशन
Identifying COVID-19 Vaccine Deserts and Ways to Reduce Them: A Digital Tool to Support Public Health Decision-MakingWeintraub, R. L., Miller, K., Rader, B., Rosenberg, J., Srinath, S., Woodbury, S. R., Schultheiss, M. D., Kansal, M., Vispute, S., Serghiou, S., Flores, G., Kumok, A., Shekel, T., Gabrilovich, E., Ahmad, I., Chiang, M. E. & Brownstein, J. S.
Am. J. Public Health e1–e5 (2023).
-
पब्लिकेशन
Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search ClassificationGupta, J., Tay, Y., Kamath, C., Tran, V., Metzler, D., Bavadekar, S., Sun, M. & Gabrilovich, E.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 521–530 (2022).
-
पब्लिकेशन
An evaluation of Internet searches as a marker of trends in population mental health in the USVaidyanathan, U., Sun, Y., Shekel, T., Chou, K., Galea, S., Gabrilovich, E. & Wellenius, G. A.
Sci. Rep. 12, 8946 (2022). [readcube]
-
पब्लिकेशन
COVID-19 Open-Data a global-scale spatially granular meta-dataset for coronavirus diseaseWahltinez, O., Cheung, A., Alcantara, R., Cheung, D., Daswani, M., Erlinger, A., Lee, M., Yawalkar, P., Lê, P., Navarro, O. P., Brenner, M. P. & Murphy, K.
Sci Data 9, 162 (2022).
-
पब्लिकेशन
Vaccine Search Patterns Provide Insights into Vaccination IntentMalahy, S., Sun, M., Spangler, K., Leibler, J., Lane, K., Bavadekar, S., Kamath, C., Kumok, A., Sun, Y., Gupta, J., Griffith, T., Boulanger, A., Young, M., Stanton, C., Mayer, Y., Smith, K., Shekel, T., Chou, K., Corrado, G., Levy, J., Szpiro, A., Gabrilovich, E. & Wellenius, G. A.
arXiv [cs.SI] (2021).
-
पब्लिकेशन
Google COVID-19 Vaccination Search Insights: Anonymization Process DescriptionBavadekar, S., Boulanger, A., Davis, J., Desfontaines, D., Gabrilovich, E., Gadepalli, K., Ghazi, B., Griffith, T., Gupta, J., Kamath, C., Kraft, D., Kumar, R., Kumok, A., Mayer, Y., Manurangsi, P., Patankar, A., Perera, I. M., Scott, C., Shekel, T., Miller, B., Smith, K., Stanton, C., Sun, M., Young, M. & Wellenius, G.
arXiv [cs.CR] (2021).
-
पब्लिकेशन
Early social distancing policies in Europe, changes in mobility & COVID-19 case trajectories: Insights from Spring 2020Woskie, L. R., Hennessy, J., Espinosa, V., Tsai, T. C., Vispute, S., Jacobson, B. H., Cattuto, C., Gauvin, L., Tizzoni, M., Fabrikant, A., Gadepalli, K., Boulanger, A., Pearce, A., Kamath, C., Schlosberg, A., Stanton, C., Bavadekar, S., Abueg, M., Hogue, M., Oplinger, A., Chou, K., Corrado, G., Shekel, T., Jha, A. K., Wellenius, G. A. & Gabrilovich, E.
PLoS One 16, e0253071 (2021).
-
पब्लिकेशन
Impacts of social distancing policies on mobility and COVID-19 case growth in the USWellenius, G. A., Vispute, S., Espinosa, V., Fabrikant, A., Tsai, T. C., Hennessy, J., Dai, A., Williams, B., Gadepalli, K., Boulanger, A., Pearce, A., Kamath, C., Schlosberg, A., Bendebury, C., Mandayam, C., Stanton, C., Bavadekar, S., Pluntke, C., Desfontaines, D., Jacobson, B. H., Armstrong, Z., Gipson, B., Wilson, R., Widdowson, A., Chou, K., Oplinger, A., Shekel, T., Jha, A. K. & Gabrilovich, E.
Nat. Commun. 12, 3118 (2021).
-
पब्लिकेशन
Forecasting influenza activity using machine-learned mobility mapVenkatramanan, S., Sadilek, A., Fadikar, A., Barrett, C. L., Biggerstaff, M., Chen, J., Dotiwalla, X., Eastham, P., Gipson, B., Higdon, D., Kucuktunc, O., Lieber, A., Lewis, B. L., Reynolds, Z., Vullikanti, A. K., Wang, L. & Marathe, M.
Nat. Commun. 12, 726 (2021).
-
पब्लिकेशन
Global maps of travel time to healthcare facilitiesWeiss, D. J., Nelson, A., Vargas-Ruiz, C. A., Gligorić, K., Bavadekar, S., Gabrilovich, E., Bertozzi-Villa, A., Rozier, J., Gibson, H. S., Shekel, T., Kamath, C., Lieber, A., Schulman, K., Shao, Y., Qarkaxhija, V., Nandi, A. K., Keddie, S. H., Rumisha, S., Amratia, P., Arambepola, R., Chestnutt, E. G., Millar, J. J., Symons, T. L., Cameron, E., Battle, K. E., Bhatt, S. & Gething, P. W.
Nat. Med. (2020).
-
पब्लिकेशन
Modeling the combined effect of digital exposure notification and non-pharmaceutical interventions on the COVID-19 epidemic in Washington stateAbueg, M., Hinch, R., Wu, N., Liu, L., Probert, W. J. M., Wu, A., Eastham, P., Shafi, Y., Rosencrantz, M., Dikovsky, M., Cheng, Z., Nurtay, A., Abeler-Dörner, L., Bonsall, D. G., McConnell, M. V., O’Banion, S. & Fraser, C.
medRxiv (2020). doi:10.1101/2020.08.29.20184135
-
पब्लिकेशन
Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0)Bavadekar, S., Dai, A., Davis, J., Desfontaines, D., Eckstein, I., Everett, K., Fabrikant, A., Flores, G., Gabrilovich, E., Gadepalli, K., Glass, S., Huang, R., Kamath, C., Kraft, D., Kumok, A., Marfatia, H., Mayer, Y., Miller, B., Pearce, A., Perera, I. M., Ramachandran, V., Raman, K., Roessler, T., Shafran, I., Shekel, T., Stanton, C., Stimes, J., Sun, M., Wellenius, G. & Zoghi, M.
arXiv [cs.CR] (2020).
-
पब्लिकेशन
Impacts of State-Level Policies on Social Distancing in the United States Using Aggregated Mobility Data during the COVID-19 PandemicWellenius, G. A., Vispute, S., Espinosa, V., Fabrikant, A., Tsai, T. C., Hennessy, J., Williams, B., Gadepalli, K., Boulanger, A., Pearce, A., Kamath, C., Schlosberg, A., Bendebury, C., Stanton, C., Bavadekar, S., Pluntke, C., Desfontaines, D., Jacobson, B., Armstrong, Z., Gipson, B., Wilson, R., Widdowson, A., Chou, K., Oplinger, A., Shekel, T., Jha, A. K. & Gabrilovich, E.
arXiv [q-bio.PE] (2020).
-
पब्लिकेशन
Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0)Aktay, A., Bavadekar, S., Cossoul, G., Davis, J., Desfontaines, D., Fabrikant, A., Gabrilovich, E., Gadepalli, K., Gipson, B., Guevara, M., Kamath, C., Kansal, M., Lange, A., Mandayam, C., Oplinger, A., Pluntke, C., Roessler, T., Schlosberg, A., Shekel, T., Vispute, S., Vu, M., Wellenius, G., Williams, B. & Wilson, R. J.
arXiv [cs.CR] (2020).
-
पब्लिकेशन
Assessing the impact of coordinated COVID-19 exit strategies across EuropeRuktanonchai, N. W., Floyd, J. R., Lai, S., Ruktanonchai, C. W., Sadilek, A., Rente-Lourenco, P., Ben, X., Carioli, A., Gwinn, J., Steele, J. E., Prosper, O., Schneider, A., Oplinger, A., Eastham, P. & Tatem, A. J.
Science 369, 1465–1470 (2020).
-
पब्लिकेशन
Lymelight: forecasting Lyme disease risk using web search dataSadilek, A., Hswen, Y., Bavadekar, S., Shekel, T., Brownstein, J. S. & Gabrilovich, E.
npj Digital Medicine 3, 1–12 (2020).
-
पब्लिकेशन
Hierarchical organization of urban mobility and its connection with city livabilityBassolas, A., Barbosa-Filho, H., Dickinson, B., Dotiwalla, X., Eastham, P., Gallotti, R., Ghoshal, G., Gipson, B., Hazarie, S. A., Kautz, H., Kucuktunc, O., Lieber, A., Sadilek, A., & Ramasco, J. J.
Nat. Commun. 10, 4817 (2019).
-
पब्लिकेशन
Machine-learned epidemiology: real-time detection of foodborne illness at scaleSadilek, A., Caty, S., DiPrete, L., Mansour, R., Schenk Jr., T., Bergtholdt, M., Jha, A., Ramaswami P., & Gabrilovich E.
npj Digital Med 1, 36 (2018).
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Prospective multi-site validation of AI to detect tuberculosis and chest X-ray abnormalitiesKazemzadeh, S., Kiraly, A. P., Nabulsi, Z., Sanjase, N., Maimbolwa, M., Shuma, B., Jamshy, S., Chen, C., Agharwal, A., T. Lau, C., Sellergren, A., Golden, D., Yu, J., Wu, E., Matias, Y., Chou, K., Corrado, G. S., Shetty, S., Tse, D., Eswaran, K., Liu, Y., Pilgrim, R., Muyoyeta, M. & Prabhakara, S.
NEJM AI 1, (2024). [Free access link]
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Artificial intelligence as a second reader for screening mammography.Nakai, E., Miyagi, Y., Suzuki, K., Scoccia Pappagallo, A., Kayama, H., Matsuba, T., Yang, L., Xu, S., Kelly, C., Najafi, R., Kohlberger, T., Golden, D., Uddin, A., Nakamura, Y., Kokubu, Y., Takahashi, Y., Ueno, T., Oguchi, M., Ohno, S. & Ledsam, J. R.
Radiology Advances 1, (2024).
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Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and JapanKiraly, A. P., Cunningham, C. A., Najafi, R., Nabulsi, Z., Yang, J., Lau, C., Ledsam, J. R., Ye, W., Ardila, D., McKinney, S. M., Pilgrim, R., Liu, Y., Saito, H., Shimamura, Y., Etemadi, M., Melnick, D., Jansen, S., Corrado, G. S., Peng, L., Tse, D., Shetty, S., Prabhakara, S., Naidich, D. P., Beladia, N. & Eswaran, K.
Radiol Artif Intell e230079 (2024).
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Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planningLucido, J. J., DeWees, T. A., Leavitt, T. R., Anand, A., Beltran, C. J., Brooke, M. D., Buroker, J. R., Foote, R. L., Foss, O. R., Gleason, A. M., Hodge, T. L., Hughes, C. O., Hunzeker, A. E., Laack, N. N., Lenz, T. K., Livne, M., Morigami, M., Moseley, D. J., Undahl, L. M., Patel, Y., Tryggestad, E. J., Walker, M. Z., Zverovitch, A. & Patel, S. H.
Front. Oncol. 13, (2023).
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Development of a Machine Learning Model for Sonographic Assessment of Gestational AgeLee, C., Willis, A., Chen, C., Sieniek, M., Watters, A., Stetson, B., Uddin, A., Wong, J., Pilgrim, R., Chou, K., Tse, D., Shetty, S. & Gomes, R. G.
JAMA Netw Open 6, e2248685 (2023).
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A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessmentGomes, R. G., Vwalika, B., Lee, C., Willis, A., Sieniek, M., Price, J. T., Chen, C., Kasaro, M. P., Taylor, J. A., Stringer, E. M., McKinney, S. M., Sindano, N., Dahl, G. E., Goodnight, W., Gilmer, J., Chi, B. H., Lau, C., Spitz, T., Saensuksopa, T., Liu, K., Tiyasirichokchai, T., Wong, J., Pilgrim, R., Uddin, A., Corrado, G., Peng, L., Chou, K., Tse, D., Stringer, J. S. A. & Shetty, S.
Communications Medicine 2, 1–9 (2022).
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Radiology 212213 (2022).
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Simplified Transfer Learning for Chest Radiography Models Using Less DataSellergren, A. B., Chen, C., Nabulsi, Z., Li, Y., Maschinot, A., Sarna, A., Huang, J., Lau, C., Kalidindi, S. R., Etemadi, M., Garcia-Vicente, F., Melnick, D., Liu, Y., Eswaran, K., Tse, D., Beladia, N., Krishnan, D. & Shetty, S.
Radiology 212482 (2022).
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पब्लिकेशन
Study Design: Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planningAnand, A., Beltran, C. J., Brooke, M. D., Buroker, J. R., DeWees, T. A., Foote, R. L., Foss, O. R., Hughes, C. O., Hunzeker, A. E., John Lucido, J., Morigami, M., Moseley, D. J., Pafundi, D. H., Patel, S. H., Patel, Y., Ridgway, A. K., Tryggestad, E. J., Wilson, M. Z., Xi, L. & Zverovitch, A.
medRxiv 2021.12.07.21266421 (2021).
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पब्लिकेशन
Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19Nabulsi, Z., Sellergren, A., Jamshy, S., Lau, C., Santos, E., Kiraly, A. P., Ye, W., Yang, J., Pilgrim, R., Kazemzadeh, S., Yu, J., Kalidindi, S. R., Etemadi, M., Garcia-Vicente, F., Melnick, D., Corrado, G. S., Peng, L., Eswaran, K., Tse, D., Beladia, N., Liu, Y., Chen, P.-H. C. & Shetty, S.
Sci. Rep. 11, 1–15 (2021).
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पब्लिकेशन
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation StudyNikolov, S., Blackwell, S., Zverovitch, A., Mendes, R., Livne, M., De Fauw, J., Patel, Y., Meyer, C., Askham, H., Romera-Paredes, B., Kelly, C., Karthikesalingam, A., Chu, C., Carnell, D., Boon, C., D’Souza, D., Moinuddin, S. A., Garie, B., McQuinlan, Y., Ireland, S., Hampton, K., Fuller, K., Montgomery, H., Rees, G., Suleyman, M., Back, T., Hughes, C. O., Ledsam, J. R. & Ronneberger, O.
J. Med. Internet Res. 23, e26151 (2021).
-
पब्लिकेशन
Improving reference standards for validation of AI-based radiographyDuggan, G. E., Reicher, J. J., Liu, Y., Tse, D. & Shetty, S.
Br J Radiol. 94, 20210435 (2021).
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पब्लिकेशन
International evaluation of an AI system for breast cancer screeningMcKinney, S. M., Sieniek, M., Godbole, V., Godwin, J., Antropova, N., Ashrafian, H., Back, T., Chesus, M., Corrado, G. S., Darzi, A., Etemadi, M., Garcia-Vicente, F., Gilbert, F. J., Halling-Brown, M., Hassabis, D., Jansen, S., Karthikesalingam, A., Kelly, C. J., King, D., Ledsam, J. R., Melnick, D., Mostofi, H., Peng, L., Reicher, J. J., Romera-Paredes, B., Sidebottom, R., Suleyman, M., Tse, D., Young, K. C., De Fauw, J. & Shetty, S.
Nature 577, 89–94 (2020). [readcube]
-
पब्लिकेशन
Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted EvaluationMajkowska, A., Mittal, S., Steiner, D. F., Reicher, J. J., McKinney, S. M., Duggan, G. E., Eswaran, K., Cameron Chen, P.-H., Liu, Y., Kalidindi, S. R., Ding, A., Corrado, G. S., Tse, D. & Shetty, S.
Radiology 191293 (2019).
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पब्लिकेशन
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Nat. Med. 25, 954–961 (2019). [readcube]
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Youtube Official Blog | 24-Mar-2022
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Access to information is a health equity issue. Here’s how YouTube is helping make high quality health information available to everyoneby Garth Graham
Youtube Official Blog | 26-Jan-2022
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Doctors bring their expertise on vaccines to YouTubeby Garth Graham
Youtube Official Blog | 13-Oct-2021
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ब्लॉग पोस्ट
Introducing new ways to help you find answers to your health questionsby Garth Graham
Youtube Official Blog | 19-Jul-2021