Google Health ಸಂಶೋಧನಾ ಪ್ರಕಟಣೆಗಳು
ನಮ್ಮ ಕೆಲಸವನ್ನು ಪ್ರಕಟಿಸುವುದರಿಂದ, ನಮ್ಮ ಆಲೋಚನೆಗಳನ್ನು ಹಂಚಿಕೊಳ್ಳುವ ಮತ್ತು ಆರೋಗ್ಯಸೇವೆಯನ್ನು ಸುಧಾರಿಸುವುದಕ್ಕಾಗಿ ಪರಸ್ಪರ ಸಹಯೋಗದೊಂದಿಗೆ ಕೆಲಸ ಮಾಡುವ ಅವಕಾಶ ನಮಗೆ ದೊರೆಯುತ್ತದೆ. ಇದು ನಮ್ಮ ಪ್ರಕಟಣೆಗಳು ಮತ್ತು ಸಂಬಂಧಿತ ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳ ಸಮಗ್ರ ನೋಟವಾಗಿದೆ.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [Google ಕೀವರ್ಡ್ ಬ್ಲಾಗ್ ಹಾಗೂ Google AI ಬ್ಲಾಗ್ನಲ್ಲಿ ಇನ್ನಷ್ಟು ಓದಿ]
Looking to the next 75 years of the NHSby Susan Thomas
Google Keyword Blog | 5-Jul-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New research from the UK focused on technology’s role in healthcareby Susan Thomas
Google Keyword Blog | 13-Jun-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our collaboration with WHO to improve public healthby Karen DeSalvo
Google Keyword Blog | 23-May-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Partnering with startups using AI to improve healthcareby Karen DeSalvo
Google Keyword Blog | 22-May-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
More mental health resources for the moments you need themby Megan Jones Bell
Google Keyword Blog | 15-May-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
3 ways Google products can help you feel less stressedby Megan Jones Bell
Google Keyword Blog | 13-Apr-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New ways we’re helping people live healthier livesby Karen DeSalvo
Google Keyword Blog | 14-Mar-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New tools to help developers build better health appsby Fred Hersch
Google Keyword Blog | 14-Mar-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our latest health AI research updatesby Greg Corrado & Yossi Matias
Google Keyword Blog | 14-Mar-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Research, 2022 & beyond: Healthby Greg Corrado & Yossi Matias
Google AI Blog | 23-Feb-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Meet our Health Equity Research Initiative awardeesby Ivor Horn
Google Keyword Blog | 26-Jan-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
7 ways Google is using AI to help solve society's challengesby Katie Malczyk
Google Keyword Blog | 17-Jan-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
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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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
https://blog.google/technology/health/8-things-we-launched-in-2022-to-support-your-health/Google Keyword Blog | 21-Dec-2022
Blog posts
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How to use Google Search to help manage uncertain timesby Hema Budaraju
Google Keyword Blog | 14-Dec-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Unlocking the potential of technology to support healthby Karen DeSalvo
Google Keyword Blog | 15-Nov-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
3 ways AI is scaling helpful technologies worldwideby Jeff Dean
Google Keyword Blog | 2-Nov-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Democratizing access to healthby Karen DeSalvo
Google Keyword Blog | 27-Oct-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Assistant offers information and hope for Breast Cancer Awareness Monthby Riva Sciuto
Google Keyword Blog | 19-Oct-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our work toward health equityby Ivor Horn
Google Keyword Blog | 12-Sep-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Dr. Von Nguyen’s temperature check on public healthby Lauren Winer
Google Keyword Blog | 25-Aug-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Suicide prevention resources on Google Searchby Anne Merritt
Google Keyword Blog | 20-Jul-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Mental health resources you can count onby Megan Jones Bell
Google Keyword Blog | 17-May-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Raising awareness of the dangers of fentanylby Megan Jones Bell & Garth Graham
Google Keyword Blog | 10-May-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Making healthcare options more accessible on Searchby Hema Budaraju
Google Keyword Blog | 2-Dec-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The Check Up: our latest health AI developmentsby Greg Corrado
Google AI Blog | 24-Mar-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The Check Up: helping people live healthier livesby Karen DeSalvo
Google Keyword Blog | 24-Mar-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our FHIR SDK for Android Developersby Katherine Chou & Sudhi Herle
Android Developers Blog | 24-Mar-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Extending Care Studio with a new healthcare partnershipby Paul Muret
Google Keyword Blog | 15-Mar-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Take a look at Conditions, our new feature in Care Studioby Paul Muret
Google Keyword Blog | 8-Mar-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Research: Themes from 2021 and Beyondby Jeff Dean
Google Research Blog | 11-Jan-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Working with the WHO to power digital health appsby Fred Hersch & Jing Tang
Google Keyword Blog | 8-Dec-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
HLTH: Building on our commitments in healthby Karen DeSalvo
Google Keyword Blog | 17-Oct-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
When it comes to mental health, what are we searching for?by Alicia Cormie
Google Keyword Blog | 6-May-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Dr. Ivor Horn talks about technology and health equityby Alicia Cormie
Google Keyword Blog | 16-Apr-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our Care Studio pilot is expanding to more cliniciansby Paul Muret
Google Keyword Blog | 23- Feb-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Research: Looking Back at 2020, and Forward to 2021by Jeff Dean
Google Research Blog | 12-Jan-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A new Google Search tool to support women with postpartum depressionby David Feinberg
LinkedIn Blog | 8-Dec-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Prepare for medical visits with help from Google and AHRQby Dave Greenwood
Google Keyword Blog | 2-Dec-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A Collaborative Approach to Shaping Successful UX Critique Practicesby Anna Lurchenko
Google Design Blog | 29-Jul-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Learn more about anxiety with a self-assessment on Searchby Daniel Gillison, Jr
Google Keyword Blog | 28-May-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Research: Looking Back at 2019, and Forward to 2020 and Beyondby Jeff Dean
Google Research Blog | 9-Jan-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Lessons Learned from Developing ML for Healthcareby Yun Liu & Po-Hsuan Cameron Chen
Google AI Blog | 10-Dec-2019
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Tools to help healthcare providers deliver better careby David Feinberg
Google Keyword Blog | 20-Nov-2019
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Breast cancer and tech...a reason for optimismby Ruth Porat
Google Keyword Blog | 21-Oct-2019
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
DeepMind’s health team joins Google Healthby Dominic King
Google Keyword Blog | 18-Sep-2019
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Looking Back at Google’s Research Efforts in 2018by Jeff Dean
Google Research Blog | 15-Jan-2019
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Meet David Feinberg, head of Google Healthby Google
Google Keyword Blog | 17-Jun-2019
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
AI for Social Good in Asia Pacificby Kent Walter
Google Keyword Blog | 13-Dec-2018
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
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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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Gain a deeper understanding of Posttraumatic Stress Disorder on Googleby Paula Schnurr & Teri Brister
Google Keyword Blog | 5-Dec-2017
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Learning more about clinical depression with the PHQ-9 questionnaireby Mary Giliberti
Google Keyword Blog | 23-Aug-2017
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Partnering on machine learning in healthcareby Katherine Chou
Google AI Blog | 17-May-2017
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The Google Brain Team — Looking Back on 2016by Jeff Dean
Google Research Blog | 12-Jan-2017
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Supporting evolving COVID information needsby Hema Budaraju
Google Keyword Blog | 16-Jun-2022
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [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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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [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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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New tools to support vaccine access and distributionby Tomer Shekel
Google Keyword Blog | 9-Jun-2021
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An update on our COVID response prioritiesby the COVID Response team, Google India
Google India Blog | 10-May-2021
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our commitment to COVID-19 vaccine equityby Karen DeSalvo
Google Keyword Blog | 15-Apr-2021[Spanish version]
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How anonymized data helps fight against diseaseby Stephen Ratcliffe
Google Keyword Blog | 24-Feb-2021
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How we’re helping get vaccines to more peopleby Sundar Pichai
Google Keyword Blog | 25-Jan-2021
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Exposure Notifications: end of year updateby Steph Hannon
Google Keyword Blog | 11-Dec-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
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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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How I’m giving thanks (and staying safe) this Thanksgivingby Karen DeSalvo
Google Keyword Blog | 24-Nov-2020 [Spanish version]
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A Q&A on coronavirus vaccinesGoogle Keyword Blog
10-Nov-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An update on our efforts to help Americans navigate COVID-19by Ruth Porat
Google Keyword Blog | 27-Oct-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Making data useful for public healthby Katherine Chou
Google Keyword Blog | 17-Sept-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google supports COVID-19 AI and data analytics projectsby Mollie Javerbaum & Meghan Houghton
Google Keyword Blog | 10-Sep-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using symptoms search trends to inform COVID-19 researchby Evgeniy Gabrilovich
Google Keyword Blog | 2-Sep-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An update on Exposure Notificationsby Dave Burke
Google Keyword Blog | 31-Jul-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Exposure Notification API launches to support public health agenciesby Apple & Google
Google Keyword Blog | 20-May-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Dr. Karen DeSalvo on ‘putting information first’ during COVID-19by Megan Washam
Google Keyword Blog | 13-May-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Resources for mental health support during COVID-19by David Feinberg
Google Keyword Blog | 8-May-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Apple and Google partner on COVID-19 contact tracing technologyby Apple & Google
Google Keyword Blog | 10-Apr-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Connecting people to virtual care optionsby Julie Black
Google Keyword Blog | 10-Apr-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Support for public health workers fighting COVID-19by Karen DeSalvo
Google Keyword Blog | 6-Apr-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Helping public health officials combat COVID-19by Jen Fitzpatrick & Karen DeSalvo
Google Keyword Blog | 3-Apr-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Connecting people with COVID-19 information and resourcesby Emily Moxley
Google Keyword Blog | 21-Mar-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
COVID-19: How we’re continuing to helpby Sundar Pichai
Google Keyword Blog | 15-Mar-2020
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Coronavirus: How we’re helpingby Sundar Pichai
Google Keyword Blog | 6-Mar-2020
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ವಿಮರ್ಶೆಗಳು
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.
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ವಿಮರ್ಶೆಗಳು
Deep Learning for Epidemiologists: An introduction to neural networks.Serghiou, S. & Rough, K.
Am. J. Epidemiol. (2023). doi:10.1093/aje/kwad107
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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
Reimagining Our Public Health Systems: The Robert Wood Johnson Foundation’s National Commission to Transform Public Health Data Systems.DeSalvo, K., Plough, A. L., Castrucci, B., Christopher, G. C. & Palacio, H.
Popul. Health Manag. (2023).
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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
Challenges of Accuracy in Germline Clinical Sequencing DataPoplin, R., Zook, J. M. & DePristo, M.
JAMA 326, 268–269 (2021).
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ವಿಮರ್ಶೆಗಳು
Retinal detection of kidney disease and diabetesMitani, A., Hammel, N. & Liu, Y.
Nature Biomedical Engineering 1–3 (2021). [readcube]
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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
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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ವಿಮರ್ಶೆಗಳು
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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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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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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Cómo desarrollar modelos de aprendizaje automático para la atención médicaChen, C. P.-H., Liu, Y., & Peng, L.
Nat. Mater. 18, 410–414 (2019). [readcube]
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Machine Learning in MedicineRajkomar, A., Dean, J., & Kohane I.
N. Engl. J. Med. 380:1347-1358 (2019).
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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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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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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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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Robust and efficient medical imaging with self-supervisionby Shekoofeh Azizi & Laura Culp
Google AI Blog | 26-Apr-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How Underspecification Presents Challenges for Machine Learningby Alex D’Amour and Katherine Heller
Google AI Blog | 18-Oct-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Self-Supervised Learning Advances Medical Image Classificationby Shekoofeh Azizi
Google AI Blog | 13-Oct-2021
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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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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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ಪ್ರಕಟಣೆಗಳು
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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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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ಪ್ರಕಟಣೆಗಳು
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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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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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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ಪ್ರಕಟಣೆಗಳು
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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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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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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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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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
8 ways Google Lens can help make your life easierby Lou Wang
Google Keyword Blog | 14-Jun-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
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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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Does Your Medical Image Classifier Know What It Doesn’t Know?by Abhijit Guha Roy & Jie Ren
Google AI Blog | 27-Jan-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How DermAssist uses TensorFlow.js for on-device image quality checksby Miles Hutson & Aaron Loh
TensorFlow Blog | 11-Oct-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using AI to help find answers to common skin conditionsby Peggy Bui & Yuan Liu
Google Keyword Blog | 18-May-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
AI assists doctors in interpreting skin conditionsby Ayush Jain & Peggy Bui
Google Keyword Blog | 28-Apr-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Generating Diverse Synthetic Medical Image Data for Training Machine Learning Modelsby Timo Kohlberger & Yuan Liu
Google AI Blog | 19-Feb-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using Deep Learning to Inform Differential Diagnoses of Skin Diseasesby Yuan Liu & Peggy Bui
Google AI Blog | 12-Sep-2019
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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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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.
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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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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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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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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Measuring clinician-machine agreement in differential diagnoses for dermatologyEng, C., Liu, Y. & Bhatnagar, R.
Br. J. Dermatol. (2019). readcube
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Improved Detection of Elusive Polyps via Machine Learningby Yossi Matias & Ehud Rivlin
Google AI Blog | 5-Aug-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
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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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screeningsby Daniel Freedman & Ehud Rivlin
Google AI Blog | 28-Aug-2020
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ಪ್ರಕಟಣೆಗಳು
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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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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ಪ್ರಕಟಣೆಗಳು
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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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An ML-Based Framework for COVID-19 Epidemiologyby Joel Shor & Sercan Arik
Google AI Blog | 13-Oct-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
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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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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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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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).
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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).
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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.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
5 myths about medical AI, debunkedby Kasumi Widner
Google Keyword Blog | 30-May-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
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
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Healthcare AI systems that put people at the centerby Emma Beede
Google Keyword Blog | 25-Apr-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New milestones in helping prevent eye disease with Verilyby Kasumi Widner & Sunny Virmani
Google Keyword Blog | 25-Feb-2019
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Launching a powerful new screening tool for diabetic eye disease in IndiaVerily Blog | 25-Feb-2019
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Improving the Effectiveness of Diabetic Retinopathy Modelsby Rory Sayres & Jonathan Krause
Google AI Blog | 13-Dec-2018
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A major milestone for the treatment of eye diseaseby Mustafa Suleyman
DeepMind Blog | 13-Aug-2018
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Detecting diabetic eye disease with machine learningby Lily Peng
Google Keyword Blog | 29-Nov-2016
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Deep learning for Detection of Diabetic Eye Diseaseby Lily Peng & Varun Gulshan
Google AI Blog | 29-Nov-2016
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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]
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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).
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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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
-
ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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)
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ಪ್ರಕಟಣೆಗಳು
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).
-
ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
-
ಪ್ರಕಟಣೆಗಳು
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).
-
ಪ್ರಕಟಣೆಗಳು
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]
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ಪ್ರಕಟಣೆಗಳು
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).
-
ಪ್ರಕಟಣೆಗಳು
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).
-
ಪ್ರಕಟಣೆಗಳು
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).
-
ಪ್ರಕಟಣೆಗಳು
Who Said What: Modeling Individual Labelers Improves ClassificationGuan, M., Gulshan, V., Dai, A, Hinton, G.
AAAI Conference on Artificial Intelligence (2018).
-
ಪ್ರಕಟಣೆಗಳು
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).
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [Fitbit ಬ್ಲಾಗ್ನಲ್ಲಿ ಇನ್ನಷ್ಟು ಓದಿ]
How we trained Fitbit’s Body Response feature to detect stressby Elena Perez & Samy Abdel-Ghaffer
Google Keyword Blog | 2-Jun-2023
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
7 ways to stress less with Fitbitby Elena Perez
Google Keyword Blog | 4-May-2023
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
6 ways Google AI is helping you sleep betterby Molly McHugh-Johnson
Google Keyword Blog | 16-Mar-2023
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
I tried Fitbit’s new sleep features for two monthsby Zahra Barnes
Google Keyword Blog | 20-Dec-2022
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Pixel Watch: Help by Google, health by Fitbitby Sandeep Waraich
Google Keyword Blog | 6-Oct-2022
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
8 things to try now on Fitbit Sense 2 and Versa 4by TJ Varghese
Google Keyword Blog | 29-Sep-2022
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Kick-start your fitness routine with Fitbit Inspire 3by The Fitbit Team
Google Keyword Blog | 24-Aug-2022
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Fitbit’s fall lineup: helping you live your healthiest lifeby TJ Varghese
Google Keyword Blog | 24-Aug-2022
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Manage your health and fitness with Fitbit Versa 4 and Sense 2by The Fitbit Team
Google Keyword Blog | 24-Aug-2022
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Improve your ZZZs with Fitbit Premium Sleep Profileby The Fitbit Team
Google Keyword Blog | 22-Jun-2022
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New Fitbit feature makes AFib detection more accessibleby The Fitbit Team
Google Keyword Blog | 11-Apr-2022
-
ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
Occurrence of Relative Bradycardia and Relative Tachycardia in Individuals Diagnosed With COVID-19Natarajan, A., Su, H.-W. & Heneghan, C.
Front. Physiol. 13, 898251 (2022).
-
ಪ್ರಕಟಣೆಗಳು
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).
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [DeepVariant ಬ್ಲಾಗ್ನಲ್ಲಿ ಇನ್ನಷ್ಟು ಓದಿ]
A breakthrough to better represent human genetic diversityby Andrew Carroll
Google Keyword Blog | 10-May-2023
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Building better pangenomes to improve the equity of genomicsby Andrew Caroll & Kishwar Shafin
Google AI Blog | 10-May-2023
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An ML-based approach to better characterize lung diseasesBabak Behsaz & Andrew Carroll
Google AI Blog | 27-Apr-2023
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A new genome sequencing tool powered with our technologyby Andrew Caroll
Google Keyword Blog | 26-Oct-2022
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Advancing genomics to better understand and treat diseaseby Andrew Carroll & Pi-Chuan Chang
Google Keyword Blog | 13-Jan-2022
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
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
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Improving Genomic Discovery with Machine Learningby Andrew Carroll & Cory McLean
Google AI Blog | 23-Jun-2021
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Improving the Accuracy of Genomic Analysis with DeepVariant 1.0by Andrew Carroll & Pi-Chuan Chang
Google AI Blog | 18-Sep-2020
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
DeepVariant Accuracy Improvements for Genetic Datatypesby Pi-Chuan Chang & Lizzie Dorfman
Google AI Blog | 19-Apr-2018
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
DeepVariant: Highly Accurate Genomes With Deep Neural Networksby Mark DePristo & Ryan Poplin
Google AI Blog | 4-Dec-2017
-
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An AI Resident at work: Suhani Vora and her work on genomicsby Phing Lee
Google Keyword Blog | 17-Nov-2017
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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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).
-
ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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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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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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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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Sequential regulatory activity prediction across chromosomes with convolutional neural networksKelley, D. R., Reshef, Y. A., Bileschi, M., Belanger, D., McLean, C. Y. & Snoek, J.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Expanding research on digital wellbeingby Nicholas Allen
Google Keyword Blog | 23-May-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Advancing health research with Google Health Studiesby Jon Morgan & Paul Eastham
Google Keyword Blog | 9-Dec-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Enhanced Sleep Sensing in Nest Hubby Michael Dixon & Reena Singhal Lee
Google AI Blog | 9-Nov-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Need a better night’s sleep? Meet the new Nest Hubby Ashton Udall
Google Keyword Blog | 16-Mar-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Contactless Sleep Sensing in Nest Hubby Michael Dixon & Reena Singhal Lee
Google AI Blog | 16-Mar-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Take a pulse on health and wellness with your phoneby Shwetak Patel
Google Keyword Blog | 4-Feb-2021
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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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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.,
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [Med-PaLM site ಇನ್ನಷ್ಟು ಓದಿ]
Google Research at I/O 2023by James Manyika & Jeff Dean
Google Keyword Blog | 25-May-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A responsible path to generative AI in healthcareby Aashima Gupta & Amy Waldron
Google Cloud Blog | 13-April-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our latest health AI research updatesby Greg Corrado & Yossi Matias
Google Keyword Blog | 14-Mar-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Research, 2022 & beyond: Healthby Greg Corrado & Yossi Matias
Google AI Blog | 23-Feb-2023
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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Joint Speech Recognition and Speaker Diarization via Sequence Transductionby Laurent El Shafey and Izhak Shafran
16-Aug-2019
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How AI can improve products for people with impaired speechby Julie Cattiau
Google Keyword Blog | 7-May-2019
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Understanding Medical Conversationsby Katherine Chou and Chung-Cheng Chiu
Google AI Blog | 21-Nov-2017
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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.
Proceedings of the Language Resources and Evaluation Conference. arXiv [cs.CL] (2020).
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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.
Proc. Empirical Methods in Natural Language Processing. arXiv [cs.CL] (2019).
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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.
arXiv [cs.CL] (2017).
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Deciphering clinical abbreviations with privacy protecting MLby Alvin Rajkoma and Eric Loreaux
Google AI Blog | 24-Jan-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
EHR-Safe: Generating High-Fidelity and Privacy-Preserving Synthetic Electronic Health Recordsby Jinsung Yoon and Sercan O. Arik
Google AI Blog | 21-Dec-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Multi-task Prediction of Organ Dysfunction in ICUsby Subhrajit Roy & Diana Mincu
Google AI Blog | 22-Jul-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A Step Towards Protecting Patients from Medication Errorsby Kathryn Rough & Alvin Rajkomar
Google AI Blog | 2-Apr-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Expanding the Application of Deep Learning to Electronic Health Recordsby Alvin Rajkomar & Eyal Oren
Google AI Blog | 22-Jan-2019
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Scaling Streams with Googleby Demis Hassabis & Mustafa Suleyman & Dominic King
DeepMind Blog | 13-Nov-2018
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Deep Learning for Electronic Health Recordsby Alvin Rajkomar & Eyal Oren
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Making Healthcare Data Work Better with Machine Learningby Patrik Sundberg & Eyal Oren
Google AI 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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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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ಪ್ರಕಟಣೆಗಳು
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.
Nature 572, 116–119 (2019). [readcube]
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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.
J Med Internet Res 21(7):e13143 (2019).
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Improved Patient Classification with Language Model Pretraining Over Clinical NotesKemp J, Rajkomar A, & Dai AM.
arXiv [cs.LG] (2019).
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Federated and Differentially Private Learning for Electronic Health RecordsPfohl SR, Dai AM, & Heller K.
arXiv [cs.LG] (2019).
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ಪ್ರಕಟಣೆಗಳು
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.
npj Digital Med 1, 18 (2018).
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Developing an aging clock using deep learning on retinal imagesby Sara Ahadi & Andrew Carroll
Google AI Blog | 11-Apr-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Detecting novel systemic biomarkers in external eye photoby Boris Babenko & Akib Uddin
Google AI Blog | 24-Mar-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Detecting Signs of Disease from External Images of the Eyeby Boris Babenko & Naama Hammel
Google AI Blog | 24-Mar-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How AI could predict sight-threatening eye conditionsby Terry Spitz & Jim Winkens
Google Keyword Blog | 18-May-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
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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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Detecting hidden signs of anemia from the eyeby Akinori Mitani
Google Keyword Blog | 28-Jan-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Assessing Cardiovascular Risk Factors with Computer Visionby Lily Peng
Google AI Blog | 2-Feb-2018
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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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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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ಪ್ರಕಟಣೆಗಳು
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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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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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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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).
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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Accelerate AI development for Digital Pathology using EZ WSI DICOMWeb Python libraryGoogle Open Source Blog | 17-May-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using AI to Predict the Presence of Cancer Spreadby Justin Krogue, Yun Liu, Po-Hsuan Cameron Chen & Ellery A
Nature Portfolio Health Community Blog | 10-May-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Learning from deep learning: a case study of feature discovery and validation in pathologyby Ellery Wulczyn and Yun Liu
Google AI Blog | 14-Mar-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Pathology digitization and the fight against cancerby Karen DeSalvo
Google Cloud Blog | 12-Dec-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Verily and Lumea Announce Development Partnership to Advance Digital Pathology in Prostate CancerVerily Blog | 16-Mar-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An International Scientific Challenge for the Diagnosis and Gleason Grading of Prostate Cancerby Po-Hsuan Cameron Chen & Maggie Demkin
Google AI Blog | 11-Feb-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The promise of using AI to help prostate cancer careby Po-Hsuan Cameron Chen & Yun Liu
Google Keyword Blog | 23-Sept-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
PAIR @ CHI 2021by People + AI Research
People + AI Research Blog | 14-May-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Learning from deep learning: developing interpretable AI approaches in histopathology to predict patient prognosis and explore novel featuresby Dave Steiner, Yun Liu, Craig Mermel, Kurt Zatloukal, Heimo Muller, Markus Plass
npj Digital Medicine Blog | 19-Apr-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Defense Innovation Unit Selects Google Cloud to Help U.S. Military Health System with Predictive Cancer DiagnosesGoogle Cloud Blog | 2-Sep-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using AI to identify the aggressiveness of prostate cancerby Kunal Nagpal & Craig Mermel
Google Keyword Blog | 23-Jul-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Generating Diverse Synthetic Medical Image Data for Training Machine Learning Modelsby Timo Kohlberger & Yuan Liu
Google AI Blog | 19-Feb-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathologyby Narayan Hedge & Carrie Cai
Google AI Blog | 19-July-2019
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Improved Grading of Prostate Cancer Using Deep Learningby Martin Stumpe & Craig Mermel
Google AI Blog | 16-Nov-2018
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Applying Deep Learning to Metastatic Breast Cancer Detectionby Martin Stumpe & Craig Mermel
Google AI Blog | 12-Oct-2018
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An Augmented Reality Microscope for Cancer Detectionby Martin Stumpe & Craig Mermel
Google AI Blog | 16-Apr-2018
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Assisting Pathologists in Detecting Cancer with Deep Learningby Martin Stumpe & Lily Peng
Google AI Blog | 3-Mar-2017
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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
"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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [ಮೇಲಿನ “COVID-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳಲ್ಲಿ” ಇನ್ನಷ್ಟು]
How we’re helping people and cities adapt to extreme heatby Kate Brandt
Google Keyword Blog | 29-Mar-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New Insights into Human Mobility with Privacy Preserving Aggregationby Adam Sadilek & Xerxes Dotiwalla
Google AI Blog | 12-Nov-2019
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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]
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
On-device fetal ultrasound assessment with TensorFlow Liteby Angelica Willis and Akib Uddin
TensorFlow Blog | 20-Jun-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
6 ways Google is working with AI in Africaby Perry Nelson & Aisha Walcott-Bryant
Google Africa Blog | 1-Jun-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Partnering with iCAD to improve breast cancer screeningby Greg Corrado
Google Keyword Blog | 28-Nov-2022
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How AI can help in the fight against breast cancerby Nicole Linton
Google Keyword Blog | 21-Oct-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Simplified Transfer Learning for Chest Radiography Model Developmentby Akib Uddin & Andrew Sellergren
Google AI Blog | 19-Jul-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Mammography collaboration in JapanGoogle Japan Blog | 25-Nov-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Detecting Abnormal Chest X-rays using Deep Learningby Zaid Nabulsi & Po-Hsuan Cameron Chen
Google AI Blog | 1-Sep-2021
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Tackling tuberculosis screening with AIby Rory Pilgrim & Shruthi Prabhakara
Google Keyword Blog | 18-May-2021
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Using artificial intelligence in breast cancer screeningby Sunny Jansen & Krish Eswaran
Google Keyword Blog | 25-Feb-2021
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Exploring AI for radiotherapy planning with Mayo Clinicby Cian Hughes
Google Keyword Blog | 29-Oct-2020
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Using AI to improve breast cancer screeningby Shravya Shetty & Daniel Tse
Google Keyword Blog | 1-Jan-2020
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Developing Deep Learning Models for Chest X-rays with Adjudicated Image Labelsby Dave Steiner & Shravya Shetty
Google AI Blog | 3-Dec-2019
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A promising step forward for predicting lung cancerby Shravya Shetty
Google Keyword Blog | 20-May-2019
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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of RadiologistsKazemzadeh, S., Yu, J., Jamshy, S., Pilgrim, R., Nabulsi, Z., Chen, C., Beladia, N., Lau, C., McKinney, S. M., Hughes, T., Kiraly, A. P., Kalidindi, S. R., Muyoyeta, M., Malemela, J., Shih, T., Corrado, G. S., Peng, L., Chou, K., Chen, P.-H. C., Liu, Y., Eswaran, K., Tse, D., Shetty, S. & Prabhakara, S.
Radiology 212213 (2022).
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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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).
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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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]
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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomographyArdila, D., Kiraly, A. P., Bharadwaj, S., Choi, B., Reciher, J. J., Peng, L., Tse, D., Etemadi, M., Ye, W., Corrado, G., Naidich, D. P., Shetty, S.
Nat. Med. 25, 954–961 (2019). [readcube]
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [ YouTube ಅಧಿಕೃತ ಬ್ಲಾಗ್ ಇನ್ನಷ್ಟು ಓದಿ]
An updated approach to eating disorder-related contentby Garth Graham
Youtube Official Blog | 18-Apr-2023
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Finding connection and support this World Mental Health Dayby Jessica DiVento Dzuban
Youtube Official Blog | 7-Oct-2022
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Expanding clinicians’ access to Continuing Educationby Garth Graham
Youtube Official Blog | 1-Mar-2023
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New ways for licensed healthcare professionals to reach people on YouTubeby Garth Graham
Youtube Official Blog | 27-Oct-2022
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Answering the human questions: How we’re putting patient voices front and centerby Garth Graham
Youtube Official Blog | 28–Sep-2022
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Introducing THE-IQ: tackling health equity with YouTube Health and Kaiser Family Foundationby Garth Graham
Youtube Official Blog | 12–Sep-2022
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New ways to answer your health questions in the United Kingdomby Garth Graham
Youtube Official Blog | 15-Jun-2022
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Answering your health questions in Brazil, India, and Japanby Garth Graham
Youtube Official Blog | 24-Mar-2022
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
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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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Introducing new ways to help you find answers to your health questionsby Garth Graham
Youtube Official Blog | 19-Jul-2021