Kasumi Widner
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Lessons learned from translating AI from development to deployment in healthcare
Lily Peng
Elin Rønby Pedersen
Divleen Jeji
Sunny Virmani
Jay Nayar
Nature Medicine (2023)
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study
Kornwipa Hemarat
Brian Levinstein
Variya Nganthavee
Dr. Paisan Raumviboonsuk
John Chambers
Apinpat Kongprayoon
Rajiv Raman
Fred Hersch
Lily Hao Yi Peng
Roy Lee
Sunny Virmani
The Lancet Digital Health (2022)
Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India
Renu P. Rajan
Rajiv Raman
Ramasamy Kim
Derek Wu
Lily Peng
Tyler Rhodes
Peter Wubbels
Kira Whitehouse
JAMA Ophthalmology (2019)
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
Rajiv Raman
Siriporn Lawanasakol
Sukhum Silpa-Archa
Chetan Rao
Surapong Orprayoon
Dr. Paisan Raumviboonsuk
Srirut Kawinpanitan
Kornwipa Hemarat
Jitumporn Fuangkaew
Jirawut Limwattanayingyong
Pipat Kongsap
Chainarong Luengchaichawang
Sarawuth Saree
Chaiyasit Thepchatri
Jesse Jung
Lalita Wongpichedchai
Jeffrey Tan
Korntip Mitvongsa
Oscar Kuruvilla
Chawawat Kangwanwongpaisan
Mongkol Tadarati
Lamyong Chualinpha
Ramase Sukumalpaiboon
Dr. Peranut Chotcomwongse
Lily Peng
Sonia Phene
Nature Partner Journal (npj) Digital Medicine (2019)
Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy
Ehsan Rahimy
Peter Karth
Lily Peng
Ophthalmology (2018)
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Ramasamy Kim
Subhashini Venugopalan
Rajiv Raman
Jorge Cuadros
Derek Wu
Arunachalam Narayanaswamy
Lily Peng
Martin C Stumpe
Tom Madams
Jessica Mega
JAMA (2016)
