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

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...

Full description

Saved in:
Bibliographic Details
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
Series:Ophthalmology Science
Subjects:
AI OCT
CRAO
Deep learning retina
OCT imaging
Ophthalmology deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914524001660
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items