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

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

Vaid et al performed a multi-center retrospective cohort study using electrocardiograms from patients with mitral regurgitation to train a deep learning model to detect valvular disease and validated it in externally. They demonstrate the model could potentially enable earlier disease detection and...

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Bibliographic Details
Main Authors: Akhil Vaid, Edgar Argulian, Stamatios Lerakis, Brett K. Beaulieu-Jones, Chayakrit Krittanawong, Eyal Klang, Joshua Lampert, Vivek Y. Reddy, Jagat Narula, Girish N. Nadkarni, Benjamin S. Glicksberg
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-023-00240-w

Internet

https://doi.org/10.1038/s43856-023-00240-w

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