Health AI Central
Peer-Reviewed Publication
Diagnostics (Basel)2026;16(17)August 25, 2026Journal Article

Evaluating Artificial Intelligence as a First-Pass Reader in Fundus Photograph Screening: A Multireader Workflow Validation Study.

Jihyeon Baek1, Richul Oh2, Doohyun Park1, Kunho Bae2,3
1VUNO Inc., Seoul 06541, Republic of Korea.
2Department of Ophthalmology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea.
3Mass Eye and Ear and the Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
PubMed PMC DOI PDF

Abstract

Background/Objectives: Double reading with arbitration improves diagnostic reliability in fundus screening but requires repeated human interpretation. Whether artificial intelligence (AI) can serve as a first-pass decision source within this workflow, and whether this applies consistently across retinal diseases with differing inter-reader agreement, remains unclear. Methods: In this retrospective…

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