Artificial Intelligence Detection of Diabetic Retinopathy

Artificial Intelligence Detection of Diabetic Retinopathy

Objective: To compare general ophthalmologists, retina specialists, and the EyeArt Artificial Intelligence (AI) system to the clinical reference standard for detecting more than mild diabetic retinopathy (mtmDR). Design: Prospective, pivotal, multicenter trial conducted from April 2017 to May 2018....

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Bibliographic Details
Main Authors: Jennifer Irene Lim, MD, Carl D. Regillo, MD, SriniVas R. Sadda, MD, Eli Ipp, MD, Malavika Bhaskaranand, PhD, Chaithanya Ramachandra, PhD, Kaushal Solanki, PhD, Harvey Dubiner, MD, Grace Levy-Clarke, MD, Richard Pesavento, MD, Mark D. Sherman, MD, Steven Silverstein, MD, Brian Kim, MD, Gerald B. Walman, MD, Barbara A. Blodi, Amitha Domalpally, Susan Reed, James Reimers, Kris Lang, Holy Cohn, Ruth Shaw, Sheila Watson, Andrew Ewen, Nancy Barrett, Maria Swift, Jeffrey Gornbein
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Ophthalmology Science
Subjects:
Artificial intelligence, Diabetic retinopathy, Screening
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914522001178

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http://www.sciencedirect.com/science/article/pii/S2666914522001178

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