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 Research ಬ್ಲಾಗ್ನಲ್ಲಿ]
How we’re using AI to connect people to health informationby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How AI is helping advance women’s health around the worldby Ronit Levavi Morad & Preeti Singh
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A new commitment to digital wellbeing for kids and teensby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
3 predictions for AI in healthcare in 2024by Aashima Gupta
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
2023: A year of groundbreaking advances in AI and computingby Jeff Dean, James Manyika, & Demis Hassabis
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
23 of our biggest moments in 2023by Molly McHugh-Johnson
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
4 ways we think about health equity and AIby Ivor Horn
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
5 ways Google is accelerating Health AI innovation in Africaby Yossi Mattia Shravya Shetty
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How we’re using AI to help transform healthcareby Yossi Mattias
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A new collaboration to improve nutrition informationby Nira Goren
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
HLTH 2023: Bringing AI to health responsiblyby Michaell Howell
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How AI can improve health for everyone, everywhereby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
7 ways Google Health is improving outcomes in Asia Pacificby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [más en Blog The Keyword de Google & Blog de Google AI]
Looking to the next 75 years of the NHSby Susan Thomas
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New research from the UK focused on technology’s role in healthcareby Susan Thomas
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our collaboration with WHO to improve public healthby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Partnering with startups using AI to improve healthcareby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
More mental health resources for the moments you need themby Megan Jones Bell
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
3 ways Google products can help you feel less stressedby Megan Jones Bell
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New ways we’re helping people live healthier livesby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our latest health AI research updatesby Greg Corrado & Yossi Matias
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Research, 2022 & beyond: Healthby Greg Corrado & Yossi Matias
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Meet our Health Equity Research Initiative awardeesby Ivor Horn
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
7 ways Google is using AI to help solve society's challengesby Katie Malczyk
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
3 ways to take better care of your mind and body in 2023by Megan Jones Bell
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
8 things we launched in 2022 to support your healthby Iz Conroy
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How to use Google Search to help manage uncertain timesby Hema Budaraju
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Unlocking the potential of technology to support healthby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Healthy collaboration: Why partnerships are the heart of healthcare innovationby Aashima Gupta
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
3 ways AI is scaling helpful technologies worldwideby Jeff Dean
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Democratizing access to healthby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Assistant offers information and hope for Breast Cancer Awareness Monthby Riva Sciuto
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our work toward health equityby Ivor Horn
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Dr. Von Nguyen’s temperature check on public healthby Lauren Winer
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Suicide prevention resources on Google Searchby Anne Merritt
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Mental health resources you can count onby Megan Jones Bell
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Raising awareness of the dangers of fentanylby Megan Jones Bell & Garth Graham
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The Check Up: helping people live healthier livesby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The Check Up: our latest health AI developmentsby Greg Corrado
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Extending Care Studio with a new healthcare partnershipby Paul Muret
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Take a look at Conditions, our new feature in Care Studioby Paul Muret
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Research: Themes from 2021 and Beyondby Jeff Dean
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Making healthcare options more accessible on Searchby Hema Budaraju
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
HLTH: Building on our commitments in healthby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
When it comes to mental health, what are we searching for?by Alicia Cormie
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Dr. Ivor Horn talks about technology and health equityby Alicia Cormie
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our Care Studio pilot is expanding to more cliniciansby Paul Muret
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Research: Looking Back at 2020, and Forward to 2021by Jeff Dean
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A new Google Search tool to support women with postpartum depressionby David Feinberg
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Prepare for medical visits with help from Google and AHRQby Dave Greenwood
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A Collaborative Approach to Shaping Successful UX Critique Practicesby Anna Lurchenko
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Learn more about anxiety with a self-assessment on Searchby Daniel Gillison, Jr
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Research: Looking Back at 2019, and Forward to 2020 and Beyondby Jeff Dean
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Lessons Learned from Developing ML for Healthcareby Yun Liu & Po-Hsuan Cameron Chen
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Tools to help healthcare providers deliver better careby David Feinberg
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Breast cancer and tech...a reason for optimismby Ruth Porat
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
DeepMind’s health team joins Google Healthby Dominic King
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Looking Back at Google’s Research Efforts in 2018by Jeff Dean
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Meet David Feinberg, head of Google Healthby Google
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
AI for Social Good in Asia Pacificby Kent Walter
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The Google Brain Team — Looking Back on 2017 (Part 2 of 2)by Jeff Dean
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Gain a deeper understanding of Posttraumatic Stress Disorder on Googleby Paula Schnurr & Teri Brister
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Learning more about clinical depression with the PHQ-9 questionnaireby Mary Giliberti
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Partnering on machine learning in healthcareby Katherine Chou
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The Google Brain Team — Looking Back on 2016by Jeff Dean
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Supporting evolving COVID information needsby Hema Budaraju
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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
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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
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New tools to support vaccine access and distributionby Tomer Shekel
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An update on our COVID response prioritiesby the COVID Response team, Google India
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our commitment to COVID-19 vaccine equityby Karen DeSalvo
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How anonymized data helps fight against diseaseby Stephen Ratcliffe
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How we’re helping get vaccines to more peopleby Sundar Pichai
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Exposure Notifications: end of year updateby Steph Hannon
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How you'll find accurate and timely information on COVID-19 vaccinesby Karen DeSalvo & Kristie Canegallo
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How I’m giving thanks (and staying safe) this Thanksgivingby Karen DeSalvo
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A Q&A on coronavirus vaccinesGoogle Keyword Blog
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An update on our efforts to help Americans navigate COVID-19by Ruth Porat
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Making data useful for public healthby Katherine Chou
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google supports COVID-19 AI and data analytics projectsby Mollie Javerbaum & Meghan Houghton
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using symptoms search trends to inform COVID-19 researchby Evgeniy Gabrilovich
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An update on Exposure Notificationsby Dave Burke
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Exposure Notification API launches to support public health agenciesby Apple & Google
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Dr. Karen DeSalvo on ‘putting information first’ during COVID-19by Megan Washam
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Resources for mental health support during COVID-19by David Feinberg
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Helping you avoid COVID-19 online security risksGoogle Africa Blog
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Apple and Google partner on COVID-19 contact tracing technologyby Apple & Google
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Connecting people to virtual care optionsby Julie Black
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Support for public health workers fighting COVID-19by Karen DeSalvo
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Helping public health officials combat COVID-19by Jen Fitzpatrick & Karen DeSalvo
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Connecting people with COVID-19 information and resourcesby Emily Moxley
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
COVID-19: How we’re continuing to helpby Sundar Pichai
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ಕೋವಿಡ್-19 ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Coronavirus: How we’re helpingby Sundar Pichai
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ವಿಮರ್ಶೆಗಳು
The opportunities and risks of large language models in mental healthLawrence, H. R., Schneider, R. A., Rubin, S. B., Mataric, M. J., McDuff, D. J. & Bell, M. J.
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ವಿಮರ್ಶೆಗಳು
Information is a determinant of healthGraham, G., Goren, N., Sounderajah, V. & DeSalvo, K.
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ವಿಮರ್ಶೆಗಳು
An intentional approach to managing bias in general purpose embedding modelsWeng, W.-H., Sellergen, A., Kiraly, A. P., D’Amour, A., Park, J., Pilgrim, R., Pfohl, S., Lau, C., Natarajan, V., Azizi, S., Karthikesalingam, A., Cole-Lewis, H., Matias, Y., Corrado, G. S., Webster, D. R., Shetty, S., Prabhakara, S., Eswaran, K., Celi, L. A. G. & Liu, Y.
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ವಿಮರ್ಶೆಗಳು
Three Epochs of Artificial Intelligence in Health CareHowell M., Corrado G., DeSalvo K.
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ವಿಮರ್ಶೆಗಳು
Artificial intelligence in healthcare: a perspective from GoogleLehmann, L. S., Natarajan, V. & Peng, L. Chapter 39
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ವಿಮರ್ಶೆಗಳು
Explaining counterfactual imagesLang, O., Traynis, I. & Liu, Y.
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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
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ವಿಮರ್ಶೆಗಳು
Deep Learning for Epidemiologists: An introduction to neural networks.Serghiou, S. & Rough, K.
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ವಿಮರ್ಶೆಗಳು
Building a Clinical Team in a Large Technology Company.DeSalvo Karen B. & Howell Michael D.
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ವಿಮರ್ಶೆಗಳು
Medicine’s Role in Reimagining Public Health: Reuniting Panacea and HygeiaDeSalvo, K. B., Kadakia, K. T. & Chokshi, D. A.
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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.
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ವಿಮರ್ಶೆಗಳು
Public Health 3.0 After COVID-19-Reboot or Upgrade?DeSalvo, K. B. & Kadakia, K. T.
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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.
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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.
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ವಿಮರ್ಶೆಗಳು
Artificial Intelligence in MedicineKelly, C. J., Brown, A. P. Y. & Taylor, J. A.
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ವಿಮರ್ಶೆಗಳು
Challenges of Accuracy in Germline Clinical Sequencing DataPoplin, R., Zook, J. M. & DePristo, M.
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ವಿಮರ್ಶೆಗಳು
Retinal detection of kidney disease and diabetesMitani, A., Hammel, N. & Liu, Y.
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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.
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ವಿಮರ್ಶೆಗಳು
Closing the translation gap: AI applications in digital pathologySteiner, D. F., Chen, P.-H. C. & Mermel, C. H.
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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.
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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.
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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.
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ವಿಮರ್ಶೆಗಳು
Artificial intelligence, machine learning and deep learning for eye care specialistsSayres, R., Hammel, N. & Liu, Y.
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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.
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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.
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ವಿಮರ್ಶೆಗಳು
Key challenges for delivering clinical impact with artificial intelligenceKelly, C. J., Karthikesalingam, A., Suleyman, M., Corrado, G., & King, D.
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ವಿಮರ್ಶೆಗಳು
Ensuring Fairness in Machine Learning to Advance Health EquityRajkomar, A., Hardt, M., Howell, M. D., Corrado, G., & Chin, M. H.
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ವಿಮರ್ಶೆಗಳು
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.
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ವಿಮರ್ಶೆಗಳು
How to develop machine learning models for healthcareChen, C. P.-H., Liu, Y., & Peng, L.
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ವಿಮರ್ಶೆಗಳು
Machine Learning in MedicineRajkomar, A., Dean, J., & Kohane I.
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ವಿಮರ್ಶೆಗಳು
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.
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ವಿಮರ್ಶೆಗಳು
When does size matter? -- Promises, pitfalls, and appropriate interpretations of ‘big’ dataRough K, Thompson J.
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ವಿಮರ್ಶೆಗಳು
Resolving the Productivity Paradox of Health Information Technology: A Time for OptimismWachter, R. M., Howell, M. D.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Developing reliable AI tools for healthcareby Krishnamurthy (Dj) Dvijotham & Taylan Cemgil
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Robust and efficient medical imaging with self-supervisionby Shekoofeh Azizi & Laura Culp
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How Underspecification Presents Challenges for Machine Learningby Alex D’Amour & Katherine Heller
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Self-Supervised Learning Advances Medical Image Classificationby Shekoofeh Azizi
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ಪ್ರಕಟಣೆಗಳು
Understanding metric-related pitfalls in image analysis validationReinke, A., Tizabi, M. D., Baumgartner, M., Eisenmann, M., Heckmann-Nötzel, D., Kavur, A. E., Rädsch, T., Sudre, C. H., Acion, L., Antonelli, M., Arbel, T., Bakas, S., Benis, A., Buettner, F., Cardoso, M. J., Cheplygina, V., Chen, J., Christodoulou, E., Cimini, B. A., Farahani, K., Ferrer, L., Galdran, A., van Ginneken, B., Glocker, B., Godau, P., Hashimoto, D. A., Hoffman, M. M., Huisman, M., Isensee, F., Jannin, P., Kahn, C. E., Kainmueller, D., Kainz, B., Karargyris, A., Kleesiek, J., Kofler, F., Kooi, T., Kopp-Schneider, A., Kozubek, M., Kreshuk, A., Kurc, T., Landman, B. A., Litjens, G., Madani, A., Maier-Hein, K., Martel, A. L., Meijering, E., Menze, B., Moons, K. G. M., Müller, H., Nichyporuk, B., Nickel, F., Petersen, J., Rafelski, S. M., Rajpoot, N., Reyes, M., Riegler, M. A., Rieke, N., Saez-Rodriguez, J., Sánchez, C. I., Shetty, S., Summers, R. M., Taha, A. A., Tiulpin, A., Tsaftaris, S. A., Van Calster, B., Varoquaux, G., Yaniv, Z. R., Jäger, P. F. & Maier-Hein, L.
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ಪ್ರಕಟಣೆಗಳು
Detecting shortcut learning for fair medical AI using shortcut testingBrown, A., Tomasev, N., Freyberg, J., Liu, Y., Karthikesalingam, A. & Schrouff, J.
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ಪ್ರಕಟಣೆಗಳು
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to cliniciansDvijotham, K., Winkens, J., Barsbey, M., Ghaisas, S., Stanforth, R., Pawlowski, N., Strachan, P., Ahmed, Z., Azizi, S., Bachrach, Y., Culp, L., Daswani, M., Freyberg, J., Kelly, C., Kiraly, A., Kohlberger, T., McKinney, S., Mustafa, B., Natarajan, V., Geras, K., Witowski, J., Qin, Z. Z., Creswell, J., Shetty, S., Sieniek, M., Spitz, T., Corrado, G., Kohli, P., Cemgil, T. & Karthikesalingam, A.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
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.
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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.
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ಪ್ರಕಟಣೆಗಳು
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.
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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.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
Supervised Transfer Learning at Scale for Medical ImagingMustafa, B., Loh, A., Freyberg, J., MacWilliams, P., Karthikesalingam, A., Houlsby, N. & Natarajan, V.
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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.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How we’re using AI to connect people to health information -
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
3 ways we are building equity into our health workby Ivor Horn
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
SCIN: A new resource for representative dermatology imagesby Pooja Rao
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
HEAL: A framework for health equity assessment of machine learning performanceby Mike Schaekermann & Ivor Horn
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Health-specific embedding tools for dermatology and pathologyby Dave Steiner & Rory Pilgrim
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
7 ways Google Health is improving outcomes in Asia Pacificby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
8 ways Google Lens can help make your life easierby Lou Wang
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Ask a Techspert: What does AI do when it doesn’t know?by Iz Conroy
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Does Your Medical Image Classifier Know What It Doesn’t Know?by Abhijit Guha Roy & Jie Ren
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How DermAssist uses TensorFlow.js for on-device image quality checksby Miles Hutson & Aaron Loh
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using AI to help find answers to common skin conditionsby Peggy Bui & Yuan Liu
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
AI assists doctors in interpreting skin conditionsby Ayush Jain & Peggy Bui
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Generating Diverse Synthetic Medical Image Data for Training Machine Learning Modelsby Timo Kohlberger & Yuan Liu
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using Deep Learning to Inform Differential Diagnoses of Skin Diseasesby Yuan Liu & Peggy Bui
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ಪ್ರಕಟಣೆಗಳು
Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case studySchaekermann, M., Spitz, T., Pyles, M., Cole-Lewis, H., Wulczyn, E., Pfohl, S. R., Martin, D., Jr, Jaroensri, R., Keeling, G., Liu, Y., Farquhar, S., Xue, Q., Lester, J., Hughes, C., Strachan, P., Tan, F., Bui, P., Mermel, C. H., Peng, L. H., Matias, Y., Corrado, G. S., Webster, D. R., Virmani, S., Semturs, C., Liu, Y., Horn, I. & Cameron Chen, P.-H.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Differences Between Patient and Clinician-Taken Images: Implications for Virtual Care of Skin ConditionsRikhye, R. V., Hong, G. E., Singh, P., Smith, M. A., Loh, A., Muralidharan, V., Wong, D., Sayres, R., Phung, M., Betancourt, N., Fong, B., Sahasrabudhe, R., Nasim, K., Eschholz, A., Matias, Y., Corrado, G. S., Chou, K., Webster, D. R., Bui, P., Liu, Y., Liu, Y., Ko, J. & Lin, S.
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ಪ್ರಕಟಣೆಗಳು
A Reduction to Binary Approach for Debiasing Multiclass Datasets. Advances in Neural Information Processing SystemsAlabdulmohsin, I.M., Schrouff, J., Koyejo, S.
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ಪ್ರಕಟಣೆಗಳು
Federated Training of Dual Encoding Models on Small Non-IID Client DatasetsVemulapalli, R., Morningstar, W. R., Mansfield, P. A., Eichner, H., Singhal, K., Afkanpour, A. & Green, B.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
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.
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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.
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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.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
DermGAN: Synthetic Generation of Clinical Skin Images with PathologyGhorbani, A., Natarajan, V., Coz, D. & Liu, Y.
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ಪ್ರಕಟಣೆಗಳು
Measuring clinician-machine agreement in differential diagnoses for dermatologyEng, C., Liu, Y. & Bhatnagar, R.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Improved Detection of Elusive Polyps via Machine Learningby Yossi Matias & Ehud Rivlin
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Verily Opens New R&D Center in Israel Focused on the Application of AI in Healthcareby Robin Suchan
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screeningsby Daniel Freedman & Ehud Rivlin
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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.
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ಪ್ರಕಟಣೆಗಳು
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.
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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.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An ML-Based Framework for COVID-19 Epidemiologyby Joel Shor & Sercan Arik
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Cloud, Harvard Global Health Institute release improved COVID-19 Public Forecasts, share lessons learnedby Tomas Pfister
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Cloud AI and Harvard Global Health Institute Collaborate on new COVID-19 forecasting modelby Dario Sava
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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.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural NetworksKapoor, A., Ben, X., Liu, L., Perozzi, B., Barnes, M., Blais, M. & O’Banion, S.
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ಪ್ರಕಟಣೆಗಳು
Interpretable Sequence Learning for Covid-19 ForecastingArik, Li, Yoon, Sinha, Epshteyn, Le, Menon, Singh, Zhang, Nikoltchev, Sonthalia, Nakhost, Kanal & Pfister.
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Google at 25: By the numbersby Michelle Budzyna & Molly McHugh-Johnson
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
7 ways Google Health is improving outcomes in Asia Pacificby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
5 myths about medical AI, debunkedby Kasumi Widner
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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
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Healthcare AI systems that put people at the centerby Emma Beede
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The Check Up: our latest health AI developmentsby Greg Corrado
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New milestones in helping prevent eye disease with Verilyby Kasumi Widner & Sunny Virmani
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Launching a powerful new screening tool for diabetic eye disease in India -
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
AI for Social Good in Asia Pacificby Kent Walter
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Improving the Effectiveness of Diabetic Retinopathy Modelsby Rory Sayres & Jonathan Krause
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A major milestone for the treatment of eye diseaseby Mustafa Suleyman
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Detecting diabetic eye disease with machine learningby Lily Peng
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Deep learning for Detection of Diabetic Eye Diseaseby Lily Peng & Varun Gulshan
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ಪ್ರಕಟಣೆಗಳು
Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective StudyBora, A., Tiwari, R., Bavishi, P., Virmani, S., Huang, R., Traynis, I., Corrado, G. S., Peng, L., Webster, D. R., Varadarajan, A. V., Pattanapongpaiboon, W., Chopra, R. & Ruamviboonsuk, P.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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ಪ್ರಕಟಣೆಗಳು
Diabetic Retinopathy and the Cascade into Vision LossSmith-Morris, C., Bresnick, G. H., Cuadros, J., Bouskill, K. E. & Pedersen, E. R.
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ಪ್ರಕಟಣೆಗಳು
Who Said What: Modeling Individual Labelers Improves ClassificationGuan, M., Gulshan, V., Dai, A, Hinton, G.
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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.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು Fitbit ಬ್ಲಾಗ್ನಲ್ಲಿಇನ್ನಷ್ಟು ಓದಿ]
How we’re using AI to connect people to health information -
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
3 heart-health tips from Fitbit’s lead cardiologistby Molly McHugh-Johnson
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
6 things I learned after using the Fitbit Charge 6 for a weekby Mike Darling
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New Fitbit study explores metabolic healthby Javier L. Prieto
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [Fitbit ಬ್ಲಾಗ್ನಲ್ಲಿ ಇನ್ನಷ್ಟು ಓದಿ]
3 ways Fitbit can improve your health — backed by researchby Amy McDonough
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How Google Pixel Watch 2 and Fitbit Charge 6 improved heart rate trackingby Molly McHugh-Johnson
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Pixel Watch 2: New ways to stay healthy, connected and safeby Sandeep Waraich
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Introducing Fitbit Charge 6: Our most advanced tracker yetby TJ Varghese
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Meet the new Fitbit app that’s redesigned with you in mindby Maggie Stanphill & Bhanu Narasimhan
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How we trained Fitbit’s Body Response feature to detect stressby Elena Perez & Samy Abdel-Ghaffer
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
7 ways to stress less with Fitbitby Elena Perez
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
3 ways Google products can help you feel less stressedby Megan Jones Bell
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
6 ways Google AI is helping you sleep betterby Molly McHugh-Johnson
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
3 ways to take better care of your mind and body in 2023by Megan Jones Bell
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
8 things we launched in 2022 to support your healthby Iz Conroy
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
I tried Fitbit’s new sleep features for two monthsby Zahra Barnes
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Pixel Watch: Help by Google, health by Fitbitby Sandeep Waraich
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
8 things to try now on Fitbit Sense 2 and Versa 4by TJ Varghese
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our work toward health equityby Ivor Horn
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Fitbit’s fall lineup: helping you live your healthiest lifeby TJ Varghese
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Kick-start your fitness routine with Fitbit Inspire 3by The Fitbit Team
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Manage your health and fitness with Fitbit Versa 4 and Sense 2by The Fitbit Team
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Improve your ZZZs with Fitbit Premium Sleep Profileby The Fitbit Team
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Mental health resources you can count onby Megan Jones Bell
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New Fitbit feature makes AFib detection more accessibleby The Fitbit Team
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The Check Up: helping people live healthier livesby Karen DeSalvo
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ಪ್ರಕಟಣೆಗಳು
Measure by measure: Resting heart rate across the 24-hour cycleSpeed, C., Arneil, T., Harle, R., Wilson, A., Karthikesalingam, A., McConnell, M. & Phillips, J.
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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.
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Occurrence of Relative Bradycardia and Relative Tachycardia in Individuals Diagnosed With COVID-19Natarajan, A., Su, H.-W. & Heneghan, C.
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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.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [DeepVariant ಬ್ಲಾಗ್ನಲ್ಲಿಇನ್ನಷ್ಟು ಓದಿ]
A breakthrough to better represent human genetic diversityby Andrew Carroll
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Building better pangenomes to improve the equity of genomicsby Andrew Carroll & Kishwar Shafin
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An ML-based approach to better characterize lung diseasesBabak Behsaz & Andrew Carroll
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Developing an aging clock using deep learning on retinal imagesby Sara Ahadi & Andrew Carroll
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
7 ways Google is using AI to help solve society's challengesby Katie Malczyk
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A new genome sequencing tool powered with our technologyby Andrew Carroll
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Advancing genomics to better understand and treat diseaseby Andrew Carroll & Pi-Chuan Chang
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
DeepNull: an open-source method to improve the discovery power of genetic association studiesby Farhad Hormozdiari & Andrew Carroll
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Improving Genomic Discovery with Machine Learningby Andrew Carroll & Cory McLean
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Improving the Accuracy of Genomic Analysis with DeepVariant 1.0by Andrew Carroll & Pi-Chuan Chang
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
DeepVariant Accuracy Improvements for Genetic Datatypesby Pi-Chuan Chang & Lizzie Dorfman
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
DeepVariant: Highly Accurate Genomes With Deep Neural Networksby Mark DePristo & Ryan Poplin
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An AI Resident at work: Suhani Vora and her work on genomicsby Phing Lee
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ಪ್ರಕಟಣೆಗಳು
Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylationKolmogorov, M., Billingsley, K. J., Mastoras, M., Meredith, M., Monlong, J., Lorig-Roach, R., Asri, M., Alvarez Jerez, P., Malik, L., Dewan, R., Reed, X., Genner, R. M., Daida, K., Behera, S., Shafin, K., Pesout, T., Prabakaran, J., Carnevali, P., Yang, J., Rhie, A., Scholz, S. W., Traynor, B. J., Miga, K. H., Jain, M., Timp, W., Phillippy, A. M., Chaisson, M., Sedlazeck, F. J., Blauwendraat, C. & Paten, B.
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ಪ್ರಕಟಣೆಗಳು
The complete sequence of a human Y chromosomeRhie, A., Nurk, S., Cechova, M., Hoyt, S. J., Taylor, D. J., Altemose, N., Hook, P. W., Koren, S., Rautiainen, M., Alexandrov, I. A., Allen, J., Asri, M., Bzikadze, A. V., Chen, N.-C., Chin, C.-S., Diekhans, M., Flicek, P., Formenti, G., Fungtammasan, A., Garcia Giron, C., Garrison, E., Gershman, A., Gerton, J. L., Grady, P. G. S., Guarracino, A., Haggerty, L., Halabian, R., Hansen, N. F., Harris, R., Hartley, G. A., Harvey, W. T., Haukness, M., Heinz, J., Hourlier, T., Hubley, R. M., Hunt, S. E., Hwang, S., Jain, M., Kesharwani, R. K., Lewis, A. P., Li, H., Logsdon, G. A., Lucas, J. K., Makalowski, W., Markovic, C., Martin, F. J., Mc Cartney, A. M., McCoy, R. C., McDaniel, J., McNulty, B. M., Medvedev, P., Mikheenko, A., Munson, K. M., Murphy, T. D., Olsen, H. E., Olson, N. D., Paulin, L. F., Porubsky, D., Potapova, T., Ryabov, F., Salzberg, S. L., Sauria, M. E. G., Sedlazeck, F. J., Shafin, K., Shepelev, V. A., Shumate, A., Storer, J. M., Surapaneni, L., Taravella Oill, A. M., Thibaud-Nissen, F., Timp, W., Tomaszkiewicz, M., Vollger, M. R., Walenz, B. P., Watwood, A. C., Weissensteiner, M. H., Wenger, A. M., Wilson, M. A., Zarate, S., Zhu, Y., Zook, J. M., Eichler, E. E., O’Neill, R. J., Schatz, M. C., Miga, K. H., Makova, K. D. & Phillippy, A. M.
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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.
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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.
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Best: A Tool for Characterizing Sequencing ErrorsLiu, D., Belyaeva, A., Shafin, K., Chang, P.-C., Carroll, A. & Cook, D. E.
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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.
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An Empirical Study of ML-based Phenotyping and Denoising for Improved Genomic DiscoveryYuan, B., McLean, C. Y., Hormozdiari, F. I. & Cosentino, J.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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ಪ್ರಕಟಣೆಗಳು
Accurate, scalable cohort variant calls using DeepVariant and GLnexusYun, T., Li, H., Chang, P-C., Lin, M., Carroll, A., & McLean, C. Y.
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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.
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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.
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ಪ್ರಕಟಣೆಗಳು
GenomeWarp: an alignment-based variant coordinate transformationMcLean, C. Y., Hwang, Y., Poplin, R. & DePristo, M. A.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
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.
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Deep learning of genomic variation and regulatory network dataTelenti, A., Lippert, C., Chang, P.-C. & DePristo, M.
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ಪ್ರಕಟಣೆಗಳು
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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Expanding research on digital wellbeingby Nicholas Allen
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Advancing health research with Google Health Studiesby Jon Morgan & Paul Eastham
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How we built and tested body temperature on Pixel 8 Proby Molly McHugh-Johnson
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New Pixel features for a minty fresh start to the yearby Stephanie Scott
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Audioplethysmography for cardiac monitoring with hearable devicesby Xiaoran "Van" Fan & Trausti Thormundsson
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The Check Up: our latest health AI developmentsby Greg Corrado
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Enhanced Sleep Sensing in Nest Hubby Michael Dixon & Reena Singhal Lee
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Need a better night’s sleep? Meet the new Nest Hubby Ashton Udall
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Contactless Sleep Sensing in Nest Hubby Michael Dixon & Reena Singhal Lee
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Take a pulse on health and wellness with your phoneby Shwetak Patel
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ಪ್ರಕಟಣೆಗಳು
Audioplethysmography for Cardiac Monitoring in HearablesFan, X., Pearl, D., Howard, R., Shangguan, L. & Thormundsson, T. APG.
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SimPer: Simple Self-Supervised Learning of Periodic TargetsYang, Y., Liu, X., Wu, J., Borac, S., Katabi, D., Poh, M.-Z. & McDuff, D.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
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 siteಇನ್ನಷ್ಟು ಓದಿ]
Our progress on generative AI in healthby Yossi Matias
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
3 ways we are building equity into our health workby Dr. Ivor Horn
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
AMIE: A research AI system for diagnostic medical reasoning and conversationsby Alan Karthikesalingam & Vivek Natarajan
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
3 predictions for AI in healthcare in 2024by Aashima Gupta
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
MedLM: generative AI fine-tuned for the healthcare industryby Yossi Matias & Aashima Gupta
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [más en el sitio Med-PaLM]
HLTH 2023: Bringing AI to health responsiblyby Michael Howell
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How AI can improve health for everyone, everywhereby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How 3 healthcare organizations are using generative AIby Aashima Gupta & Greg Corrado
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Multimodal medical AIby Greg Corrado and Yossi Matias
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Research at I/O 2023by James Manyika & Jeff Dean
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A responsible path to generative AI in healthcareby Aashima Gupta & Amy Waldron
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our latest health AI research updatesby Greg Corrado & Yossi Matias
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Google Research, 2022 & beyond: Healthby Greg Corrado & Yossi Matias
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ಪ್ರಕಟಣೆಗಳು
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language ModelsPfohl, S. R., Cole-Lewis, H., Sayres, R., Neal, D., Asiedu, M., Dieng, A., Tomasev, N., Rashid, Q. M., Azizi, S., Rostamzadeh, N., McCoy, L. G., Celi, L. A., Liu, Y., Schaekermann, M., Walton, A., Parrish, A., Nagpal, C., Singh, P., Dewitt, A., Mansfield, P., Prakash, S., Heller, K., Karthikesalingam, A., Semturs, C., Barral, J., Corrado, G., Matias, Y., Smith-Loud, J., Horn, I. & Singhal, K.
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ಪ್ರಕಟಣೆಗಳು
Towards Generalist Biomedical AI.Tu, T., Azizi, S., Driess, D., Schaekermann, M., Amin, M., Chang, P.-C., Carroll, A., Lau, C., Tanno, R., Ktena, I., Mustafa, B., Chowdhery, A., Liu, Y., Kornblith, S., Fleet, D., Mansfield, P., Prakash, S., Wong, R., Virmani, S., Semturs, C., Sara Mahdavi, S., Green, B., Dominowska, E., Aguera y Arcas, B., Barral, J., Webster, D., Corrado, G. S., Matias, Y., Singhal, K., Florence, P., Karthikesalingam, A. & Natarajan, V.
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ಪ್ರಕಟಣೆಗಳು
Towards Conversational Diagnostic AITu, T., Palepu, A., Schaekermann, M., Saab, K., Freyberg, J., Tanno, R., Wang, A., Li, B., Amin, M., Tomasev, N., Azizi, S., Singhal, K., Cheng, Y., Hou, L., Webson, A., Kulkarni, K., Sara Mahdavi, S., Semturs, C., Gottweis, J., Barral, J., Chou, K., Corrado, G. S., Matias, Y., Karthikesalingam, A. & Natarajan, V.
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LLMs Accelerate Annotation for Medical Information Extraction.Goel, A., Gueta, A., Gilon, O., Liu, C., Erell, S., Nguyen, L. H., Hao, X., Jaber, B., Reddy, S., Kartha, R., Steiner, J., Laish, I. & Feder, A.
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Towards Accurate Differential Diagnosis with Large Language Models.McDuff, D., Schaekermann, M., Tu, T., Palepu, A., Wang, A., Garrison, J., Singhal, K., Sharma, Y., Azizi, S., Kulkarni, K., Hou, L., Cheng, Y., Liu, Y., Sara Mahdavi, S., Prakash, S., Pathak, A., Semturs, C., Patel, S., Webster, D. R., Dominowska, E., Gottweis, J., Barral, J., Chou, K., Corrado, G. S., Matias, Y., Sunshine, J., Karthikesalingam, A. & Natarajan, V.
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ಪ್ರಕಟಣೆಗಳು
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generationTanno, R., Barrett, D. G. T., Sellergren, A., Ghaisas, S., Dathathri, S., See, A., Welbl, J., Singhal, K., Azizi, S., Tu, T., Schaekermann, M., May, R., Lee, R., Man, S., Ahmed, Z., Mahdavi, S., Belgrave, D., Natarajan, V., Shetty, S., Kohli, P., Huang, P.-S., Karthikesalingam, A. & Ktena, I.
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The Capability of Large Language Models to Measure Psychiatric FunctioningGalatzer-Levy, I. R., McDuff, D., Natarajan, V., Karthikesalingam, A. & Malgaroli, M.
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ಪ್ರಕಟಣೆಗಳು
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encodersXu, S., Yang, L., Kelly, C., Sieniek, M., Kohlberger, T., Ma, M., Weng, W.-H., Kiraly, A., Kazemzadeh, S., Melamed, Z., Park, J., Strachan, P., Liu, Y., Lau, C., Singh, P., Chen, C., Etemadi, M., Kalidindi, S. R., Matias, Y., Chou, K., Corrado, G. S., Shetty, S., Tse, D., Prabhakara, S., Golden, D., Pilgrim, R., Eswaran, K. & Sellergren, A.
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ಪ್ರಕಟಣೆಗಳು
Multimodal LLMs for health grounded in individual-specific dataBelyaeva, A., Cosentino, J., Hormozdiari, F., Eswaran, K., Shetty, S., Corrado, G., Carroll, A., McLean, C. Y. & Furlotte, N. A.
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ಪ್ರಕಟಣೆಗಳು
Large Language Models are Few-Shot Health LearnersLiu, X., McDuff, D., Kovacs, G., Galatzer-Levy, I., Sunshine, J., Zhan, J., Poh, M.-Z., Liao, S., Di Achille, P. & Patel, S.
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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.
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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.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Joint Speech Recognition and Speaker Diarization via Sequence Transductionby Laurent El Shafey and Izhak Shafran
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How AI can improve products for people with impaired speechby Julie Cattiau
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Understanding Medical Conversationsby Katherine Chou and Chung-Cheng Chiu
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ಪ್ರಕಟಣೆಗಳು
Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic SignalsBlankemeier, L., Baur, S., Weng, W.-H., Garrison, J., Matias, Y., Prabhakara, S., Ardila, D. & Nabulsi, Z.
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Medical Scribe: Corpus Development and Model Performance AnalysesShafran, I., Du, N., Tran, L., Perry, A., Keyes, L., Knichel, M., Domin, A., Huang, L., Chen, Y., Li, G., Wang, M., El Shafey, L., Soltau, H. & Paul, J. S.
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Extracting Symptoms and their Status from Clinical ConversationsDu, N., Chen, K., Kannan, A., Tran, L., Chen, Y. & Shafran, I.
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ಪ್ರಕಟಣೆಗಳು
Automatically Charting Symptoms From Patient-Physician Conversations Using Machine LearningRajkomar, A., Kannan, A., Chen, K., Vardoulakis, L., Chou, K., Cui, C., & Dean, J.
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ಪ್ರಕಟಣೆಗಳು
Joint Speech Recognition and Speaker Diarization via Sequence TransductionEl Shafey, L., Soltau, H. & Shafran, I.
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Learning to Infer Entities, Properties and their Relations from Clinical ConversationsDu, N., Wang, M., Tran, L., Li, G. & Shafran, I.
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ಪ್ರಕಟಣೆಗಳು
Speech recognition for medical conversationsChiu, C.-C., Tripathi, A., Chou, K., Co, C., Jaitly, N., Jaunzeikare, D., Kannan, A., Nguyen, P., Sak, H., Sankar, A., Tansuwan, J., Wan, N., Wu, Y., & Zhang X.
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Deciphering clinical abbreviations with privacy protecting MLby Alvin Rajkoma and Eric Loreaux
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
EHR-Safe: Generating High-Fidelity and Privacy-Preserving Synthetic Electronic Health Recordsby Jinsung Yoon and Sercan O. Arik
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Multi-task Prediction of Organ Dysfunction in ICUsby Subhrajit Roy & Diana Mincu
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A Step Towards Protecting Patients from Medication Errorsby Kathryn Rough & Alvin Rajkomar
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Expanding the Application of Deep Learning to Electronic Health Recordsby Alvin Rajkomar & Eyal Oren
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Scaling Streams with Googleby Demis Hassabis & Mustafa Suleyman & Dominic King
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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
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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.
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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.
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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.
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Structured understanding of assessment and plans in clinical documentationStupp, D., Barequet, R., Lee, I.-C., Oren, E., Feder, A., Benjamini, A., Hassidim, A., Matias, Y., Ofek, E. & Rajkomar, A.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
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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ಪ್ರಕಟಣೆಗಳು
Learning to Select Best Forecast Tasks for Clinical Outcome PredictionXue Y, Du N, Mottram A, Seneviratne A, Dai AM.
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ಪ್ರಕಟಣೆಗಳು
Deep State-Space Generative Model For Correlated Time-to-Event PredictionsXue Y, Zhou D, Du N, Dai A, Xu Z, Zhang K, Cui C.
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ಪ್ರಕಟಣೆಗಳು
Graph convolutional transformer: Learning the graphical structure of electronic health recordsChoi E, Xu Z, Li Y, Dusenberry MW, Flores G, Xue Y, Dai AM.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
Explaining an increase in predicted risk for clinical alertsHardt M, Rajkomar A, Flores G, Dai A, Howell M, Corrado G, Cui C, & Hardt M.
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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.
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ಪ್ರಕಟಣೆಗಳು
A clinically applicable approach to continuous prediction of future acute kidney injuryTomašev, N., Glorot, X., Rae, J. W., Zielinski, M., Askham, H., Saraiva, A., Mottram, A., Meyer, C., Ravuri, S., Protsyuk, I., Connell, A., Hughes, C. O., Karthikesalingam, A., Cornebise, J., Montgomery, H., Rees, G., Laing, C., Baker, C. R., Peterson, K., Reeves, R., Hassabis, D., King, D., Suleyman, M., Back, T., Nielson, C., Ledsam, J. R. & Mohamed, S.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
Implementation of a Digitally Enabled Care Pathway (Part 2): Qualitative Analysis of Experiences of Health Care ProfessionalsConnell A, Black G, Montgomery H, Martin P, Nightingale C, King D, Karthikesalingam A, Hughes C, Back T, Ayoub K, Suleyman M, Jones G, Cross J, Stanley S, Emerson M, Merrick C, Rees G, Laing C, & Raine R.
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ಪ್ರಕಟಣೆಗಳು
Improved Patient Classification with Language Model Pretraining Over Clinical NotesKemp J, Rajkomar A, & Dai AM.
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ಪ್ರಕಟಣೆಗಳು
Federated and Differentially Private Learning for Electronic Health RecordsPfohl SR, Dai AM, & Heller K.
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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.
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ಪ್ರಕಟಣೆಗಳು
Modelling EHR timeseries by restricting feature interactionZhang K, Xue Y, Flores G, Rajkomar A, Cui C, & Dai AM.
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ಪ್ರಕಟಣೆಗಳು
Scalable and accurate deep learning with electronic health recordsRajkomar A, Oren E, Chen K, Dai AM, Hajaj N, Hardt M, Liu PJ, Liu X, Marcus J, Sun M, Sundberg P, Yee H, Zhang K, Zhang Y, Flores G, Duggan GE, Irvine J, Le Q, Litsch K, Mossin A, Tansuwan J, Wang, Wexler J, Wilson J, Ludwig D, Volchenboum SL, Chou K, Pearson M, Madabushi S, Shah NH, Butte AJ, Howell MD, Cui C, Corrado GS, Dean J.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Developing an aging clock using deep learning on retinal imagesby Sara Ahadi & Andrew Carroll
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Detecting novel systemic biomarkers in external eye photoby Boris Babenko & Akib Uddin
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The Check Up: our latest health AI developmentsby Greg Corrado
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Detecting Signs of Disease from External Images of the Eyeby Boris Babenko & Naama Hammel
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How AI could predict sight-threatening eye conditionsby Terry Spitz & Jim Winkens
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using AI to predict retinal disease progressionby Jason Yim, Reena Chopra, Jeffrey De Fauw & Joseph Ledsam
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Detecting hidden signs of anemia from the eyeby Akinori Mitani
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Assessing Cardiovascular Risk Factors with Computer Visionby Lily Peng
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ಪ್ರಕಟಣೆಗಳು
Using generative AI to investigate medical imagery models and datasetsLang, O., Yaya-Stupp, D., Traynis, I., Cole-Lewis, H., Bennett, C. R., Lyles, C. R., Lau, C., Irani, M., Semturs, C., Webster, D. R., Corrado, G. S., Hassidim, A., Matias, Y., Liu, Y., Hammel, N. & Babenko, B.
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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.
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ಪ್ರಕಟಣೆಗಳು
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.
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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.
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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.
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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.
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ಪ್ರಕಟಣೆಗಳು
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.
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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.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
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.
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ಪ್ರಕಟಣೆಗಳು
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.
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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.
-
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.
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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.
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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.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [more at OHS Blog]
5 ways Google is accelerating Health AI innovation in Africaby Yossi Mattia & Shravya Shetty
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Engaging with the Healthcare Developer Ecosystem in Indiaby Richa Tiwari
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Empowering Developers to Build Next Generation, Mobile-First Healthcare Solutionsby Richa Tiwari
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Manage FHIR Data from Android App with Open Health Stack and Google Cloudby Abirami Sukumaran & Omar Ismail
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
7 ways Google Health is improving outcomes in Asia Pacificby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our collaboration with WHO to improve public healthby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New tools to help developers build better health appsby Fred Hersch
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our FHIR SDK for Android Developersby Katherine Chou & Sudhi Herle
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Working with the WHO to power digital health appsby Fred Hersch & Jing Tang
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ಪ್ರಕಟಣೆಗಳು
A full-STAC remedy for global digital health transformation: open standards, technologies, architectures and contentMehl, G. L., Seneviratne, M. G., Berg, M. L., Bidani, S., Distler, R. L., Gorgens, M., Kallander, K. E., Labrique, A. B., Landry, M. S., Leitner, C., Lubell-Doughtie, P. B., Marcelo, A. D., Matias, Y., Nelson, J., Nguyen, V., Nsengimana, J. P., Orton, M., Otzoy Garcia, D. R., Oyaole, D. R., Ratanaprayul, N., Roth, S., Schaefer, M. P., Settle, D., Tang, J., Tien-Wahser, B., Wanyee, S. & Hersch, F.
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ಪ್ರಕಟಣೆಗಳು
Collaborative Momentum: The 2023 State of the Digital Public Goods Ecosystem Report
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Health-specific embedding tools for dermatology and pathologyby Dave Steiner & Rory Pilgrim
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Accelerate AI development for Digital Pathology using EZ WSI DICOMWeb Python library -
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using AI to Predict the Presence of Cancer Spreadby Justin Krogue, Yun Liu, Po-Hsuan Cameron Chen & Ellery A
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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
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Pathology digitization and the fight against cancerby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Verily and Lumea Announce Development Partnership to Advance Digital Pathology in Prostate Cancer -
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An International Scientific Challenge for the Diagnosis and Gleason Grading of Prostate Cancerby Po-Hsuan Cameron Chen & Maggie Demkin
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The promise of using AI to help prostate cancer careby Po-Hsuan Cameron Chen & Yun Liu
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
PAIR @ CHI 2021by People + AI Research
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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
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Defense Innovation Unit Selects Google Cloud to Help U.S. Military Health System with Predictive Cancer Diagnoses -
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using AI to identify the aggressiveness of prostate cancerby Kunal Nagpal & Craig Mermel
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Generating Diverse Synthetic Medical Image Data for Training Machine Learning Modelsby Timo Kohlberger & Yuan Liu
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathologyby Narayan Hedge & Carrie Cai
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Improved Grading of Prostate Cancer Using Deep Learningby Martin Stumpe & Craig Mermel
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Applying Deep Learning to Metastatic Breast Cancer Detectionby Martin Stumpe & Craig Mermel
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An Augmented Reality Microscope for Cancer Detectionby Martin Stumpe & Craig Mermel
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Assisting Pathologists in Detecting Cancer with Deep Learningby Martin Stumpe & Lily Peng
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ಪ್ರಕಟಣೆಗಳು
An End-to-End Platform for Digital Pathology Using Hyperspectral Autofluorescence Microscopy and Deep Learning-Based Virtual HistologyMcNeil, C., Wong, P. F., Sridhar, N., Wang, Y., Santori, C., Wu, C.-H., Homyk, A., Gutierrez, M., Behrooz, A., Tiniakos, D., Burt, A. D., Pai, R. K., Tekiela, K., Cameron Chen, P.-H., Fischer, L., Martins, E. B., Seyedkazemi, S., Freedman, D., Kim, C. C. & Cimermancic, P.
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ಪ್ರಕಟಣೆಗಳು
Domain-specific optimization and diverse evaluation of self-supervised models for histopathologyLai, J., Ahmed, F., Vijay, S., Jaroensri, T., Loo, J., Vyawahare, S., Agarwal, S., Jamil, F., Matias, Y., Corrado, G. S., Webster, D. R., Krause, J., Liu, Y., Chen, P.-H. C., Wulczyn, E. & Steiner, D. F.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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).
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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.
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"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.
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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.
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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.
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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.
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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.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How AI is helping advance women’s health around the world -
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New anonymized smartphone data reveals it often takes more time than expected to access healthcare in the real world: Using aggregated and anonymized data from over 100 countries to quantify inequities in access to healthcareby Kristina Gligoric
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
5 ways Google is accelerating Health AI innovation in Africaby Yossi Mattia & Shravya Shetty
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How we’re using AI to combat floods, wildfires and extreme heatby Yossi Matias
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How we’re supporting access to emergency maternal care in Nigeriaby Charlotte Stanton
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How we’re helping people and cities adapt to extreme heatby Kate Brandt
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New tools to support vaccine access and distributionby Tomer Shekel
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An update on our efforts to help Americans navigate COVID-19by Ruth Porat
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Making data useful for public healthby Katherine Chou
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using symptoms search trends to inform COVID-19 researchby Evgeniy Gabrilovich
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Helping public health officials combat COVID-19by Jen Fitzpatrick & Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New Insights into Human Mobility with Privacy Preserving Aggregationby Adam Sadilek & Xerxes Dotiwalla
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ಪ್ರಕಟಣೆಗಳು
Socio-spatial equity analysis of relative wealth index and emergency obstetric care accessibility in urban NigeriaWong, K. L. M., Banke-Thomas, A., Olubodun, T., Macharia, P. M., Stanton, C., Sundararajan, N., Shah, Y., Prasad, G., Kansal, M., Vispute, S., Shekel, T., Ogunyemi, O., Gwacham-Anisiobi, U., Wang, J., Abejirinde, I.-O. O., Makanga, P. T., Afolabi, B. B. & Beňová, L.
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Revealed versus potential spatial accessibility of healthcare and changing patterns during the COVID-19 pandemicGligorić, K., Kamath, C., Weiss, D. J., Bavadekar, S., Liu, Y., Shekel, T., Schulman, K. & Gabrilovich, E.
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A geospatial database of close-to-reality travel times to obstetric emergency care in 15 Nigerian conurbationsMacharia, P. M., Wong, K. L. M., Olubodun, T., Beňová, L., Stanton, C., Sundararajan, N., Shah, Y., Prasad, G., Kansal, M., Vispute, S., Shekel, T., Gwacham-Anisiobi, U., Ogunyemi, O., Wang, J., Abejirinde, I.-O. O., Makanga, P. T., Afolabi, B. B. & Banke-Thomas, A.
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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.
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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.
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Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search ClassificationGupta, J., Tay, Y., Kamath, C., Tran, V., Metzler, D., Bavadekar, S., Sun, M. & Gabrilovich, E.
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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.
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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.
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ಪ್ರಕಟಣೆಗಳು
Vaccine Search Patterns Provide Insights into Vaccination IntentMalahy, S., Sun, M., Spangler, K., Leibler, J., Lane, K., Bavadekar, S., Kamath, C., Kumok, A., Sun, Y., Gupta, J., Griffith, T., Boulanger, A., Young, M., Stanton, C., Mayer, Y., Smith, K., Shekel, T., Chou, K., Corrado, G., Levy, J., Szpiro, A., Gabrilovich, E. & Wellenius, G. A.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Lymelight: forecasting Lyme disease risk using web search dataSadilek, A., Hswen, Y., Bavadekar, S., Shekel, T., Brownstein, J. S. & Gabrilovich, E.
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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.
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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.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Computer-aided diagnosis for lung cancer screeningby Atilla Kiraly & Rory Pilgrim
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How AI supports early disease detection in Indiaby Shravya Shetty
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How AI is helping advance women’s health around the world -
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
5 ways Google is accelerating Health AI innovation in Africaby Yossi Matias & Shravya Shetty
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
7 ways Google Health is improving outcomes in Asia Pacificby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
On-device fetal ultrasound assessment with TensorFlow Liteby Angelica Willis & Akib Uddin
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
6 ways Google is working with AI in Africaby Perry Nelson & Aisha Walcott-Bryant
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our latest health AI research updatesby Greg Corrado & Yossi Matias
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
7 ways Google is using AI to help solve society's challengesby Katie Malczyk
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Partnering with iCAD to improve breast cancer screeningby Greg Corrado
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How AI can help in the fight against breast cancerby Nicole Linton
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Simplified Transfer Learning for Chest Radiography Model Developmentby Akib Uddin & Andrew Sellergren
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The Check Up: our latest health AI developmentsby Greg Corrado
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Mammography collaboration in Japan -
ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Detecting Abnormal Chest X-rays using Deep Learningby Zaid Nabulsi & Po-Hsuan Cameron Chen
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Tackling tuberculosis screening with AIby Rory Pilgrim & Shruthi Prabhakara
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using artificial intelligence in breast cancer screeningby Sunny Jansen & Krish Eswaran
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Exploring AI for radiotherapy planning with Mayo Clinicby Cian Hughes
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Using AI to improve breast cancer screeningby Shravya Shetty & Daniel Tse
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Developing Deep Learning Models for Chest X-rays with Adjudicated Image Labelsby Dave Steiner & Shravya Shetty
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
A promising step forward for predicting lung cancerby Shravya Shetty
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ಪ್ರಕಟಣೆಗಳು
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and JapanKiraly, A. P., Cunningham, C. A., Najafi, R., Nabulsi, Z., Yang, J., Lau, C., Ledsam, J. R., Ye, W., Ardila, D., McKinney, S. M., Pilgrim, R., Liu, Y., Saito, H., Shimamura, Y., Etemadi, M., Melnick, D., Jansen, S., Corrado, G. S., Peng, L., Tse, D., Shetty, S., Prabhakara, S., Naidich, D. P., Beladia, N. & Eswaran, K.
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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.
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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.
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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.
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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.
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Simplified Transfer Learning for Chest Radiography Models Using Less DataSellergren, A. B., Chen, C., Nabulsi, Z., Li, Y., Maschinot, A., Sarna, A., Huang, J., Lau, C., Kalidindi, S. R., Etemadi, M., Garcia-Vicente, F., Melnick, D., Liu, Y., Eswaran, K., Tse, D., Beladia, N., Krishnan, D. & Shetty, S.
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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.
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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.
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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.
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Improving reference standards for validation of AI-based radiographyDuggan, G. E., Reicher, J. J., Liu, Y., Tse, D. & Shetty, S.
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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.
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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.
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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.
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [ YouTube ಅಧಿಕೃತ ಬ್ಲಾಗ್ಇನ್ನಷ್ಟು ಓದಿ]
How we’re using AI to connect people to health informationGoogle Keyword Blog | 19-Mar-2024
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Safer Internet Day: Supporting teen mental health and wellbeing on YouTubeby The YouTube Team
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Elevating first aid information on YouTube searchby Garth Graham
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
How AI helps make public health truly publicby Garth Graham
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Continued support for teen wellbeing and mental health on YouTubeby James Beser
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Expanding equitable access to health information on YouTubeby Garth Graham
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು [más en Blog oficial de YouTube]
A long term vision for YouTube’s medical misinformation policiesYoutube Official Blog
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New ways for UK licensed healthcare professionals to reach viewers on YouTubeYoutube Official Blog
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Mental Health Action Day: Small steps to support your mental healthYoutube Official Blog
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
An updated approach to eating disorder-related contentby Garth Graham
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Finding connection and support this World Mental Health Dayby Jessica DiVento Dzuban
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Expanding clinicians’ access to Continuing Educationby Garth Graham
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
8 things we launched in 2022 to support your healthby Iz Conroy
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New ways for licensed healthcare professionals to reach people on YouTubeby Garth Graham
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Answering the human questions: How we’re putting patient voices front and centerby Garth Graham
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Our work toward health equityby Ivor Horn
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Introducing THE-IQ: tackling health equity with YouTube Health and Kaiser Family Foundationby Garth Graham
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
New ways to answer your health questions in the United Kingdomby Garth Graham
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
The Check Up: helping people live healthier livesby Karen DeSalvo
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Answering your health questions in Brazil, India, and Japanby Garth Graham
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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
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Doctors bring their expertise on vaccines to YouTubeby Garth Graham
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ಬ್ಲಾಗ್ ಪೋಸ್ಟ್ಗಳು
Introducing new ways to help you find answers to your health questionsby Garth Graham