Article

Deep Learning of Fluorescence Lifetime Imaging Ophthalmoscopy for Type 2 Diabetes Classification

2026-08-06

Abstract excerpt

<h4>Purpose</h4> To evaluate whether fluorescence lifetime imaging ophthalmoscopy (FLIO) combined with deep learning can detect metabolic signatures for classification of type 2 diabetes mellitus (T2DM). <h4>Design</h4> Cross-sectional analysis of participants included AI-READI dataset (version 3) with FLIO imaging and and hemoglobin A1c (HbA1c) measurement. <h4>Subjects</h4> 1,783 participants from the AI-READ...

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Literature Corpus work: f4291808-901d-5975-92f8-df9ba0a531cd
DOI: 10.64898/2026.08.04.26359728

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