Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

Shu Wei Ting, Daniel; Y. Cheung, Carol; Lim, Gilbert; Siew Wei Tan, Gavin; Quang Nguyen, Duc; Tau Liang Gan, Alfred; Hamzah, Haslina; García-Franco, Renata; Yeo, Ian; Yen Lee, Shu; Yick Mun Wong, Edmund; Sabanayagam, Charumathi; Baskaran, Mani; Ibrahim, Farah; Chuan Tan, Ngiap; Finkelstein, Eric; L. Lamoureux, Ecosse; Wong, Yhi; M. Bressler, Neil; Sivaprasad, Sobha; Varma, Rohit; B. Jonas, Jost; He, Mingguang; Cheng, Ching‐Yu; Ming Gemmy Cheung, Chui; Aung, Tin; Hsu, Wynne; Li Lee, Mong; Yin Wong, Tien

doi:10.1001/jama.2017.18152

Public

Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

Published in JAMA • Dec 12, 2017

Authors:

Daniel Shu Wei Ting

Carol Y. Cheung

Gilbert Lim

Abstract

Importance: A deep learning system (DLS) is a machine learning technology with potential for screening diabetic retinopathy and related eye diseases. Objective: To evaluate the performance of a DLS in detecting referable diabetic retinopathy, vision-threatening diabetic retinopathy, possible glaucom...

Subject

Medicine

Diabetic retinopathy

Diabetes mellitus

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