Artificial Intelligence-Enabled Electrocardiogram Predicted Left Ventricle Diameter as an Independent Risk Factor of Long-Term Cardiovascular Outcome in Patients With Normal Ejection Fraction

BackgroundHeart failure (HF) is a global disease with increasing prevalence in an aging society. However, the survival rate is poor despite the patient receiving standard treatment. Early identification of patients with a high risk of HF is important but challenging. Left ventricular end-diastolic d...

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Detalhes bibliográficos

Principais autores:	Hung-Yi Chen, Chin-Sheng Lin, Wen-Hui Fang, Chia-Cheng Lee, Ching-Liang Ho, Chih-Hung Wang, Chin Lin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2022-04-01
coleção:	Frontiers in Medicine
Assuntos:	artificial intelligence electrocardiogram deep learning heart failure ejection fraction left ventricular end-diastolic diameter
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fmed.2022.870523/full
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