Factors Associated with Machine Learning–Based Predictions of Retinal Aging Using Teleretinal Screening Images from Patients with Diabetes

Purpose: To identify factors associated with accelerated retinal aging based on machine learning predictions of age using fundus images from teleretinal screening of patients with diabetes. Design: Cross-sectional study of retinal images. Subjects: Ten thousand, five hundred thirty eye images from 2...

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Автори:	Tuyet Thao Nguyen, BS, Maria Jessica Cruz, BA, Tanvi Chokshi, MD, Valencia Lenora Potter, MD, PhD, Micah Joy Patag San Agustin, BA, Angel Rose Joshy, Neha Sarabu, BS, Xin Liu, PhD, Glenn Yiu, MD, PhD
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Elsevier 2026-04-01
Серія:	Ophthalmology Science
Предмети:	Retinal age gap Teleophthalmology Teleretinal screening Cardiovascular risk Diabetes
Онлайн доступ:	http://www.sciencedirect.com/science/article/pii/S2666914526000503
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Factors Associated with Machine Learning–Based Predictions of Retinal Aging Using Teleretinal Screening Images from Patients with Diabetes

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