Deep learning evaluation of echocardiograms to identify occult atrial fibrillation

Deep learning evaluation of echocardiograms to identify occult atrial fibrillation

Abstract Atrial fibrillation (AF) often escapes detection, given its frequent paroxysmal and asymptomatic presentation. Deep learning of transthoracic echocardiograms (TTEs), which have structural information, could help identify occult AF. We created a two-stage deep learning algorithm using a vide...

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Bibliographic Details
Main Authors: Neal Yuan, Nathan R. Stein, Grant Duffy, Roopinder K. Sandhu, Sumeet S. Chugh, Peng-Sheng Chen, Carine Rosenberg, Christine M. Albert, Susan Cheng, Robert J. Siegel, David Ouyang
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-024-01090-z

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https://doi.org/10.1038/s41746-024-01090-z

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