The 12-lead electrocardiogram as a biomarker of biological age

BACKGROUND: We have demonstrated that a neural network is able to predict a person’s age from the electrocardiogram (ECG) [artificial intelligence (AI) ECG age]. However, some discrepancies were observed between ECG-derived and chronological ages. We assessed whether the difference between AI ECG an...

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Detalles Bibliográficos
Autores principales: Ladejobi, Adetola O, Medina-Inojosa, Jose R, Shelly Cohen, Michal, Attia, Zachi I, Scott, Christopher G, LeBrasseur, Nathan K, Gersh, Bernard J, Noseworthy, Peter A, Friedman, Paul A, Kapa, Suraj, Lopez-Jimenez, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707884/
https://www.ncbi.nlm.nih.gov/pubmed/36713596
http://dx.doi.org/10.1093/ehjdh/ztab043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707884/
https://www.ncbi.nlm.nih.gov/pubmed/36713596
http://dx.doi.org/10.1093/ehjdh/ztab043

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