Peer-Reviewed Publication
PLOS Digit Health2026;5(9):e0001700.September 1, 2026Journal Article

Evaluating an AI-assisted triage workflow for retinal diseases.

Doohyun Park1, Richul Oh2, Jihyeon Baek1, Kunho Bae2,3
1VUNO Inc., Seoul, Korea.
2Department of Ophthalmology, Seoul National University Hospital, Seoul, Korea.
3Mass Eye and Ear and the Department of Ophthalmology at Harvard Medical School, Boston, Massachusetts, United States of America.

Abstract

The clinical value of artificial intelligence (AI) in fundus photography depends on workflow efficiency as well as diagnostic performance. We evaluated an AI-assisted negative-screening workflow for diabetic retinopathy (DR), retinal vein occlusion (RVO), and age-related macular degeneration (AMD) using 6,904 color fundus photographs independently graded by three retina specialists. In this workfl…

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