Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction

BACKGROUND: Aortic Stenosis and Mitral Regurgitation are common valvular conditions representing a hidden burden of disease within the population. The aim of this study was to develop and validate deep learning-based screening and diagnostic tools that can help guide clinical decision making. METHOD...

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Detalles Bibliográficos
Autores principales: Vaid, Akhil, Argulian, Edgar, Lerakis, Stamatios, Beaulieu-Jones, Brett K., Krittanawong, Chayakrit, Klang, Eyal, Lampert, Joshua, Reddy, Vivek Y., Narula, Jagat, Nadkarni, Girish N., Glicksberg, Benjamin S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929085/
https://www.ncbi.nlm.nih.gov/pubmed/36788316
http://dx.doi.org/10.1038/s43856-023-00240-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929085/
https://www.ncbi.nlm.nih.gov/pubmed/36788316
http://dx.doi.org/10.1038/s43856-023-00240-w

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