Artificial Intelligence‐Based Detection of Central Retinal Artery Occlusion Within 4.5 Hours on Standard Fundus Photographs

Artificial Intelligence‐Based Detection of Central Retinal Artery Occlusion Within 4.5 Hours on Standard Fundus Photographs

Background Prompt diagnosis of acute central retinal artery occlusion (CRAO) is crucial for therapeutic management and stroke prevention. However, most stroke centers lack onsite ophthalmic expertise before considering fibrinolytic treatment. This study aimed to develop, train, and test a deep learn...

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Main Authors: Ayse Gungor, Ilias Sarbout, Aubrey L. Gilbert, Steffen Hamann, Pierre Lebranchu, Cristina Hobeanu, Philippe Gohier, Catherine Vignal‐Clermont, Oana M. Dumitrascu, Salomon‐Yves Cohen, Wolf A. Lagrèze, Nicolas Feltgen, Frank van der Heide, Cédric Lamirel, Jost B. Jonas, Michael Obadia, Daniel Racoceanu, Dan Milea
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
acute stroke
artificial intelligence
central retinal artery occlusion
cerebrovascular stroke
early diagnosis
machine learning
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.124.041441
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https://www.ahajournals.org/doi/10.1161/JAHA.124.041441

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