Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning. - Ryan Poplin; Avinash V. Varadarajan; Katy Blumer; Yun Liu 013; Michael V. McConnell; Gregory S. Corrado; Lily Peng; Dale R. Webster (CoRR, 2017)

Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy. - Jonathan Krause; Varun Gulshan; Ehsan Rahimy; Peter Karth; Kasumi Widner; Gregory S. Corrado; Lily Peng; Dale R. Webster (CoRR, 2017)

Deep learning for predicting refractive error from retinal fundus images. - Avinash V. Varadarajan; Ryan Poplin; Katy Blumer; Christof Angermüller; Joe Ledsam; Reena Chopra; Pearse A. Keane; Greg Corrado; Lily Peng; Dale R. Webster (CoRR, 2017)

Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program. - Paisan Raumviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (CoRR, 2018)

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. - Avinash V. Varadarajan; Pinal Bavishi; Paisan Raumviboonsuk; Peranut Chotcomwongse; Subhashini Venugopalan; Arunachalam Narayanaswamy; Jorge Cuadros; Kuniyoshi Kanai; George Bresnick; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (CoRR, 2018)

Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images. - Sonia Phene; R. Carter Dunn; Naama Hammel; Yun Liu 013; Jonathan Krause; Naho Kitade; Mike Schaekermann; Rory Sayres; Derek J. Wu; Ashish Bora; Christopher Semturs; Anita Misra; et al. (CoRR, 2018)

Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning. - Boris Babenko; Siva Balasubramanian; Katy E. Blumer; Gregory S. Corrado; Lily Peng; Dale R. Webster; Naama Hammel; Avinash V. Varadarajan (CoRR, 2019)

Detecting Anemia from Retinal Fundus Images. - Akinori Mitani; Yun Liu 013; Abigail E. Huang; Gregory S. Corrado; Lily Peng; Dale R. Webster; Naama Hammel; Avinash V. Varadarajan (CoRR, 2019)

A deep learning system for differential diagnosis of skin diseases. - Yuan Liu; Ayush Jain; Clara Eng; David H. Way; Kang Lee; Peggy Bui; Kimberly Kanada; Guilherme de Oliveira Marinho; Jessica Gallegos; Sara Gabriele; Vishakha Gupta; Nalini Singh; et al. (CoRR, 2019)

Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. - Paisan Ruamviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (npj Digit. Medicine, 2019)

Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. - Paisan Ruamviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (npj Digit. Medicine, 2019)

Scientific Discovery by Generating Counterfactuals Using Image Translation. - Arunachalam Narayanaswamy; Subhashini Venugopalan; Dale R. Webster; Lily Peng; Gregory S. Corrado; Paisan Ruamviboonsuk; Pinal Bavishi; Michael P. Brenner; Philip C. Nelson; Avinash V. Varadarajan (MICCAI (1), 2020)

Scientific Discovery by Generating Counterfactuals using Image Translation. - Arunachalam Narayanaswamy; Subhashini Venugopalan; Dale R. Webster; Lily Peng; Greg Corrado; Paisan Ruamviboonsuk; Pinal Bavishi; Rory Sayres; Abigail E. Huang; Siva Balasubramanian; Michael P. Brenner; Philip Q. Nelson; et al. (CoRR, 2020)

Predicting Risk of Developing Diabetic Retinopathy using Deep Learning. - Ashish Bora; Siva Balasubramanian; Boris Babenko; Sunny Virmani; Subhashini Venugopalan; Akinori Mitani; Guilherme de Oliveira Marinho; Jorge Cuadros; Paisan Ruamviboonsuk; Gregory S. Corrado; Lily Peng; Dale R. Webster; et al. (CoRR, 2020)

Detecting hidden signs of diabetes in external eye photographs. - Boris Babenko; Akinori Mitani; Ilana Traynis; Naho Kitade; Preeti Singh; April Y. Maa; Jorge Cuadros; Greg Corrado; Lily Peng; Dale R. Webster; Avinash V. Varadarajan; Naama Hammel; et al. (CoRR, 2020)

Robust and Efficient Medical Imaging with Self-Supervision. - Shekoofeh Azizi; Laura Culp; Jan Freyberg; Basil Mustafa; Sebastien Baur; Simon Kornblith; Ting Chen 007; Patricia MacWilliams; S. Sara Mahdavi; Ellery Wulczyn; Boris Babenko; Megan Wilson; et al. (CoRR, 2022)

Discovering novel systemic biomarkers in photos of the external eye. - Boris Babenko; Ilana Traynis; Christina Chen; Preeti Singh; Akib Uddin; Jorge Cuadros; Lauren P. Daskivich; April Y. Maa; Kim Ramasamy; Eugene Yu-Chuan Kang; Yossi Matias; Gregory S. Corrado; et al. (CoRR, 2022)

Large Language Models Encode Clinical Knowledge. - Karan Singhal; Shekoofeh Azizi; Tao Tu 001; S. Sara Mahdavi; Jason Wei; Hyung Won Chung; Nathan Scales; Ajay Kumar Tanwani; Heather Cole-Lewis; Stephen Pfohl; Perry Payne; Martin Seneviratne; et al. (CoRR, 2022)

Towards Expert-Level Medical Question Answering with Large Language Models. - Karan Singhal; Tao Tu 001; Juraj Gottweis; Rory Sayres; Ellery Wulczyn; Le Hou; Kevin Clark; Stephen Pfohl; Heather Cole-Lewis; Darlene Neal; Mike Schaekermann; Amy Wang; et al. (CoRR, 2023)

Using generative AI to investigate medical imagery models and datasets. - Oran Lang; Doron Yaya-Stupp; Ilana Traynis; Heather Cole-Lewis; Chloe R. Bennett; Courtney Lyles; Charles Lau; Christopher Semturs; Dale R. Webster; Gregory S. Corrado; Avinatan Hassidim; Yossi Matias; et al. (CoRR, 2023)

Evaluating AI systems under uncertain ground truth: a case study in dermatology. - David Stutz; Ali Taylan Cemgil; Abhijit Guha Roy; Tatiana Matejovicova; Melih Barsbey; Patricia Strachan; Mike Schaekermann; Jan Freyberg; Rajeev V. Rikhye; Beverly Freeman; Javier Perez Matos; Umesh Telang; et al. (CoRR, 2023)

Towards Generalist Biomedical AI. - Tao Tu 001; Shekoofeh Azizi; Danny Driess; Mike Schaekermann; Mohamed Amin; Pi-Chuan Chang; Andrew Carroll; Chuck Lau; Ryutaro Tanno; Ira Ktena; Basil Mustafa; Aakanksha Chowdhery; et al. (CoRR, 2023)

Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. - Jeremy Lai; Faruk Ahmed; Supriya Vijay; Tiam Jaroensri; Jessica Loo; Saurabh Vyawahare; Saloni Agarwal; Fayaz Jamil; Yossi Matias; Gregory S. Corrado; Dale R. Webster; Jonathan Krause; et al. (CoRR, 2023)

Towards Accurate Differential Diagnosis with Large Language Models. - Daniel McDuff; Mike Schaekermann; Tao Tu 001; Anil Palepu; Amy Wang; Jake Garrison; Karan Singhal; Yash Sharma; Shekoofeh Azizi; Kavita Kulkarni; Le Hou; Yong Cheng; et al. (CoRR, 2023)

Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM. - Brenna Li; Amy Wang; Patricia Strachan; Julie Anne Séguin; Sami Lachgar; Karyn C. Schroeder; Mathias S. Fleck; Renee Wong; Alan Karthikesalingam; Vivek Natarajan; Yossi Matias; Gregory S. Corrado; et al. (CHI Extended Abstracts, 2024)

PathAlign: A vision-language model for whole slide images in histopathology. - Faruk Ahmed; Andrew Sellergren; Lin Yang; Shawn Xu; Boris Babenko; Abbi Ward; Niels Olson; Arash Mohtashamian; Yossi Matias; Gregory S. Corrado; Quang Duong 004; Dale R. Webster; et al. (COMPAY@MICCAI, 2024)

MINT: A wrapper to make multi-modal and multi-image AI models interactive. - Jan Freyberg; Abhijit Guha Roy; Terry Spitz; Beverly Freeman; Mike Schaekermann; Patricia Strachan; Eva Schnider; Renee Wong; Dale R. Webster; Alan Karthikesalingam; Yun Liu 013; Krishnamurthy Dvijotham; et al. (CoRR, 2024)

Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings. - Rajeev V. Rikhye; Aaron Loh; Grace Eunhae Hong; Preeti Singh; Margaret Ann Smith; Vijaytha Muralidharan; Doris Wong; Rory Sayres; Michelle Phung; Nicolas Betancourt; Bradley Fong; Rachna Sahasrabudhe; et al. (CoRR, 2024)

Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset. - Abbi Ward; Jimmy Li; Julie Wang; Sriram Lakshminarasimhan; Ashley Carrick; Bilson J. L. Campana; Jay Hartford; Pradeep Kumar S; Tiya Tiyasirichokchai; Sunny Virmani; Renee Wong; Yossi Matias; et al. (CoRR, 2024)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

Towards Democratization of Subspeciality Medical Expertise. - Jack W. O'Sullivan; Anil Palepu; Khaled Saab 003; Wei-Hung Weng; Yong Cheng; Emily Chu; Yaanik Desai; Aly Elezaby; Daniel Seung Kim; Roy Lan; Wilson Tang; Natalie Tapaskar; et al. (CoRR, 2024)

Exploring Large Language Models for Specialist-level Oncology Care. - Anil Palepu; Vikram Dhillon; Polly Niravath; Wei-Hung Weng; Preethi Prasad; Khaled Saab 003; Ryutaro Tanno; Yong Cheng; Hanh Mai; Ethan Burns; Zainub Ajmal; Kavita Kulkarni; et al. (CoRR, 2024)

Navigating Skin Concerns with AI: A Human-Centered Investigation of a Dermatology App in a Diverse Community. - Rory Sayres; Anna Devon-Sand; Mike Schaekermann; Margaret Ann Smith; Patricia Strachan; Grace Eunhae Hong; Trinh Nguyen; Doris Wong; Naama Hammel; Dawn Siegel; Kexin Ren; Chelsea Belletieri; et al. (CHI Extended Abstracts, 2025)

Generative AI for medical education: Insights from a case study with medical students and an AI tutor for clinical reasoning. - Amy Wang; Roma Ruparel; Anna Iurchenko; Paul Jhun; Julie Anne Séguin; Patricia Strachan; Renee Wong; Alan Karthikesalingam; Yossi Matias; Avinatan Hassidim; Dale R. Webster; Christopher Semturs; et al. (CHI Extended Abstracts, 2025)

Evaluating medical AI systems in dermatology under uncertain ground truth. - David Stutz; Ali Taylan Cemgil; Abhijit Guha Roy; Tatiana Matejovicova; Melih Barsbey; Patricia Strachan; Mike Schaekermann; Jan Freyberg; Rajeev Rikhye; Beverly Freeman; Javier Perez Matos; Umesh Telang; et al. (Medical Image Anal., 2025)

PolyPath: Adapting a Large Multimodal Model for Multi-slide Pathology Report Generation. - Faruk Ahmed; Lin Yang; Tiam Jaroensri; Andrew Sellergren; Yossi Matias; Avinatan Hassidim; Gregory S. Corrado; Dale R. Webster; Shravya Shetty; Shruthi Prabhakara; Yun Liu 013; Daniel Golden; et al. (CoRR, 2025)

Towards Conversational AI for Disease Management. - Anil Palepu; Valentin Liévin; Wei-Hung Weng; Khaled Saab 003; David Stutz; Yong Cheng; Kavita Kulkarni; S. Sara Mahdavi; Joelle K. Barral; Dale R. Webster; Katherine Chou; Avinatan Hassidim; et al. (CoRR, 2025)

LLM-based Text Simplification and its Effect on User Comprehension and Cognitive Load. - Theo Guidroz; Diego Ardila; Jimmy Li; Adam Mansour; Paul Jhun; Nina Gonzalez; Xiang Ji; Mike Sanchez; Sujay Kakarmath; Mathias MJ Bellaiche; Miguel Ángel Garrido; Faruk Ahmed; et al. (CoRR, 2025)

Advancing Conversational Diagnostic AI with Multimodal Reasoning. - Khaled Saab 003; Jan Freyberg; Chunjong Park; Tim Strother; Yong Cheng; Wei-Hung Weng; David G. T. Barrett; David Stutz; Nenad Tomasev; Anil Palepu; Valentin Liévin; Yash Sharma; et al. (CoRR, 2025)

Towards physician-centered oversight of conversational diagnostic AI. - Elahe Vedadi; David G. T. Barrett; Natalie Harris; Ellery Wulczyn; Shashir Reddy; Roma Ruparel; Mike Schaekermann; Tim Strother; Ryutaro Tanno; Yash Sharma; Jihyeon Lee; Cían Hughes; et al. (CoRR, 2025)