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)

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)

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)

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)

Towards Conversational Diagnostic AI. - Tao Tu 001; Anil Palepu; Mike Schaekermann; Khaled Saab 003; Jan Freyberg; Ryutaro Tanno; Amy Wang; Brenna Li; Mohamed Amin; Nenad Tomasev; Shekoofeh Azizi; Karan Singhal; 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)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. - Stephen R. Pfohl; Heather Cole-Lewis; Rory Sayres; Darlene Neal; Mercy Nyamewaa Asiedu; Awa Dieng; Nenad Tomasev; Qazi Mamunur Rashid; Shekoofeh Azizi; Negar Rostamzadeh; Liam G. McCoy; Leo Anthony Celi; 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)

Tx-LLM: A Large Language Model for Therapeutics. - Juan Manuel Zambrano Chaves; Eric Wang; Tao Tu 001; Eeshit Dhaval Vaishnav; Byron Lee; S. Sara Mahdavi; Christopher Semturs; David J. Fleet; Vivek Natarajan; Shekoofeh Azizi (CoRR, 2024)

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)