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

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 cardiovascular age,...

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Detalles Bibliográficos
Autores principales: Libiseller-Egger, Julian, Phelan, Jody E., Attia, Zachi I., Benavente, Ernest Diez, Campino, Susana, Friedman, Paul A., Lopez-Jimenez, Francisco, Leon, David A., Clark, Taane G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805465/
https://www.ncbi.nlm.nih.gov/pubmed/36587059
http://dx.doi.org/10.1038/s41598-022-27254-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805465/
https://www.ncbi.nlm.nih.gov/pubmed/36587059
http://dx.doi.org/10.1038/s41598-022-27254-z

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