Evaluating a Foundation Artificial Intelligence Model for Glaucoma Detection Using Color Fundus Photographs

To evaluate RETFound, a foundation artificial intelligence model, using a diverse clinical research dataset to assess its accuracy in detecting glaucoma using optic disc photographs. The model's accuracy for glaucoma detection was evaluated across race, age, glaucoma severity, and various train...

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Veröffentlicht in:	Ophthalmology science (Online) 2025-01, Vol.5 (1), p.100623, Article 100623
Hauptverfasser:	Chuter, Benton, Huynh, Justin, Hallaj, Shahin, Walker, Evan, Liebmann, Jeffrey M., Fazio, Massimo A., Girkin, Christopher A., Weinreb, Robert N., Christopher, Mark, Zangwill, Linda M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Fundus photographs Glaucoma Original RETFound Self-supervised learning
Online-Zugang:	Volltext
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