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

20172,229 citationsJournal Articlebronze Open Access

Authors

Daniel Shu Wei Ting · National University of Singapore

Carol Y. Cheung · Singapore National Eye Center

Gilbert Lim · National University of Singapore

Gavin Siew Wei Tan · Singapore Eye Research Institute

Duc Quang Nguyen · Singapore National Eye Center

Alfred Tau Liang Gan · Singapore National Eye Center

Haslina Hamzah

Abstract

In this evaluation of retinal images from multiethnic cohorts of patients with diabetes, the DLS had high sensitivity and specificity for identifying diabetic retinopathy and related eye diseases. Further research is necessary to evaluate the applicability of the DLS in health care settings and the utility of the DLS to improve vision outcomes.

Topics & Keywords

Retinal Imaging and Analysis Retinal Diseases and Treatments Acute Ischemic Stroke Management

Publication Details

Published in: JAMA

Volume 318, Issue 22, pp. 2211-2211

DOI: 10.1001/jama.2017.18152

Field-Weighted Citation Impact: 124.94

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

Authors

Abstract

Topics & Keywords

Publication Details