Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypes

Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypes

Abstract Artificial intelligence (AI)-based approaches can now use electrocardiograms (ECGs) to provide expert-level performance in detecting heart abnormalities and diagnosing disease. Additionally, patient age predicted from ECGs by AI models has shown great potential as a biomarker for cardiovasc...

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Bibliographic Details
Main Authors: Julian Libiseller-Egger, Jody E. Phelan, Zachi I. Attia, Ernest Diez Benavente, Susana Campino, Paul A. Friedman, Francisco Lopez-Jimenez, David A. Leon, Taane G. Clark
Format: Article
Language:English
Published: Nature Portfolio 2022-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-27254-z

Internet

https://doi.org/10.1038/s41598-022-27254-z

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