Artificial intelligence-estimated biological heart age using 12 lead electrocardiogram predicts mortality and cardiovascular outcomes

FUNDING ACKNOWLEDGEMENTS: Type of funding sources: None. Main funding source(s): none BACKGROUND: There is a paucity of data on the artificial intelligence-estimated biological ECG heart age (AI ECG-heart age) for predicting cardiovascular outcomes as distinct from the chronological age (CA). PURPOS...

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Detalles Bibliográficos
Autores principales: Baek, Y, Lee, D H, Jo, Y S, Lee, S C, Choi, W I, Kim, D H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
9.3.1 - Electrocardiography (ECG)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207539/
http://dx.doi.org/10.1093/europace/euad122.614

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207539/
http://dx.doi.org/10.1093/europace/euad122.614

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