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

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Publication Details

Journal
Journal of the American Heart Association
Published
2025-06-27
DOI
https://doi.org/10.1161/jaha.124.041441
Citations
9
Primary Topic
Retinal and Optic Conditions
Type
article
Field-Weighted Citation Impact
15.36
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article

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

Nicolas Feltgen, Dan Miléa, Michaël Obadia, C. Lamirel et al.
9 citations
Journal of the American Heart Association
Retinal and Optic Conditions
15.36
article

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

Nicolas Feltgen, Dan Miléa, Michaël Obadia, C. Lamirel, Salomon Y. Cohen, Aubrey L. Gilbert, Catherine Vignal‐Clermont, Daniel Racoceanu, Cristina Hobeanu, Frank van der Heide, Philippe Gohier, Wolf A. Lagrèze, Jost Bruno Jonas, Oana M. Dumitrascu, Pierre Lebranchu, Steffen Hamann, Ayse Gungor, Ilias Sarbout
article en
9 citations

Abstract

No abstract available for this paper.
Journal of the American Heart AssociationVol. 14(13)
École Centrale de Nantes (FR), University of Copenhagen (DK), Centre National de la Recherche Scientifique (FR), Kaiser Permanente (US), Inserm (FR), University of Freiburg (DE), Université Paris Cité (FR), Singapore National Eye Center (SG), WinnMed (US), Copenhagen University Hospital (DK), Rigshospitalet (DK), Sorbonne Université (FR), Sorbonne Paris Cité (FR), Centre Ophtalmologique d'Imagerie et de Laser (FR), Singapore Eye Research Institute (SG), Laboratoire des Sciences du Numérique de Nantes (FR), Pitié-Salpêtrière Hospital (FR), Institut du Cerveau (FR), University of Göttingen (DE), Nantes Université (FR)
Good health and well-being
Openalex Percentile: Top 1%
Retinal and Optic Conditions
15.36
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