Artificial Intelligence in Early Detection of Diabetic Retinopathy
DOI:
https://doi.org/10.63501/bgn4k187Keywords:
Artificial Intelligence, Diabetic retinopathyReferences
1 Teo ZL, Tham Y-C, Yu M, et al. Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045. Ophthalmology 2021; 128: 1580–91.
2 Gulshan V, Peng L, Coram M, et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA 2016; 316: 2402.
3 Abràmoff MD, Lavin PT, Birch M, Shah N, Folk JC. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. NPJ Digit Med 2018; 1: 39.
4 Dave D, Steinhubl SR, McQueen RB. Deep Learning–Enabled Diabetic Retinopathy Screening: A Techno-Clinical Revolution or Just More Artificial Intelligence Hype? Diabetes Care 2026; 49: 381–3.
5 Rajesh AE, Davidson OQ, Lee CS, Lee AY. Artificial Intelligence and Diabetic Retinopathy: AI Framework, Prospective Studies, Head-to-head Validation, and Cost-effectiveness. Diabetes Care 2023; 46: 1728–39.
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