Rory Sayres
Rory is a researcher in the Google Health AI group. He focuses on intelligence augmentation of medical experts using machine-learning-based assistance.
His background includes neuroscience and human/computer interaction. He has previously studied the human visual system using methods including psychophysics and functional magnetic resonance imaging.
Authored Publications
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Searching for Dermatology Information Online using Images vs Text: a Randomized Study
Jay Hartford
Natalie Salaets
Kimberley Raiford
Jay Nayar
Dounia Berrada
Harsh Kharbanda
Lou Wang
Peggy Bui
medRxiv (2024)
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 Seguin
Sami Lachgar
Karyn Schroeder
Renee Wong
Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, pp. 10
Searching for Dermatology Information Online using Images vs Text: a Randomized Study
Jay Hartford
Natalie Salaets
Kimberley Raiford
Jay Nayar
Dounia Berrada
Harsh Kharbanda
Lou Wang
Peggy Bui
medRxiv (2024)
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
Heather Cole-Lewis
Nenad Tomašev
Liam McCoy
Leo Anthony Celi
Alanna Walton
Chirag Nagpal
Akeiylah DeWitt
Philip Mansfield
Sushant Prakash
Joelle Barral
Ivor Horn
Karan Singhal
Nature Medicine (2024)
Validation of a deep learning system for the detection of diabetic retinopathy in Indigenous Australians
Mark Chia
Fred Hersch
Pearse Keane
Angus Turner
British Journal of Ophthalmology, 108 (2024), pp. 268-273
Differences between Patient and Clinician Submitted Images: Implications for Virtual Care of Skin Conditions
Rajeev Rikhye
Grace Eunhae Hong
Margaret Ann Smith
Aaron Loh
Vijaytha Muralidharan
Doris Wong
Michelle Phung
Nicolas Betancourt
Bradley Fong
Rachna Sahasrabudhe
Khoban Nasim
Alec Eschholz
Kat Chou
Peggy Bui
Justin Ko
Steven Lin
Mayo Clinic Proceedings: Digital Health (2024)
A Multiparty Collaboration to Engage Diverse Populations in Community-Centered Artificial Intelligence Research
Anna Devon-Sand
Patricia Strachan
Margaret Ann Smith
Trinh Nguyen
Justin Ko
Steven Lin
Mayo Clinic Proceedings: Digital Health (2024)
Towards Physician-Level Medical Question Answering with Large Language Models
Karan Singhal
Juro Gottweis
Le Hou
Kevin Clark
Heather Cole-Lewis
Amy Wang
Sami Lachgar
Philip Mansfield
Sushant Prakash
Bradley Green
Ewa Dominowska
Nenad Tomašev
Renee Wong
Sara Mahdavi
Joelle Barral
Arxiv (2023) (to appear)
Race- and Ethnicity-Stratified Analysis of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners
David Way
Vishakha Gupta
Yi Gao
Guilherme De Oliveira Marinho
Jay David Hartford
Kimberly Kanada
Kunal Nagpal
Lily Hao Yi Peng
Carter Dunn
Susan Jen Huang
Peggy Bui
(2022)
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study
Dr. Paisan Raumviboonsuk
Variya Nganthavee
Kornwipa Hemarat
Apinpat Kongprayoon
Rajiv Raman
Brian Levinstein
Roy Lee
Sunny Virmani
John Chambers
Fred Hersch
Lily Hao Yi Peng
The Lancet Digital Health (2022)
