Automated Detection of Central Retinal Artery Occlusion Using OCT Imaging via Explainable Deep Learning

Objective: To demonstrate the capability of a deep learning model to detect central retinal artery occlusion (CRAO), a retinal pathology with significant clinical urgency, using OCT data. Design: Retrospective, external validation study analyzing OCT and clinical baseline data of 2 institutions via...

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Bibliographic Details

Published in:	Ophthalmology Science
Main Authors:	Ansgar Beuse, Daniel Alexander Wenzel, MD, Martin Stephan Spitzer, MD, Karl Ulrich Bartz-Schmidt, MD, Maximilian Schultheiss, MD, Sven Poli, MD, Carsten Grohmann, PhD, MD
Format:	Article
Language:	English
Published:	Elsevier 2025-03-01
Subjects:	AI OCT CRAO Deep learning retina OCT imaging Ophthalmology deep learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666914524001660