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Open access Sep 2026

Deep learning-derived retinal age gap and its associations with lifestyle, systemic, and ocular health in a health screening cohort.

Individuals of the same chronological age differ in biological aging, and scalable, noninvasive markers are needed. The deep learning-derived retinal age gap (RAG) is a promising measure of retinal aging, but its associations with real-world health determinants remain unclear. We developed a multi-task model to predict...

Boa Jang, Richul Oh, Taehee Lee et al. · 0 citations
Open access Aug 2026

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

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 d...

Jihyeon Baek, Richul Oh, Doohyun Park et al. · 0 citations
Review Open access Sep 2026

Evaluating an AI-assisted triage workflow for retinal diseases

An AI-assisted negative-screening workflow for diabetic retinopathy, retinal vein occlusion, and age-related macular degeneration using 6,904 color fundus photographs independently graded by three retina specialists supports disease-specific implementation strategies that balance workload reduction against missed posit...

Doohyun Park, Richul Oh, Jihyeon Baek et al. · 0 citations

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