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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| Principais autores: | , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2024-04-01
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| Colecção: | npj Digital Medicine |
| Acesso em linha: | https://doi.org/10.1038/s41746-024-01090-z |
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