Artificial intelligence-enabled electrocardiographic screening for left ventricular systolic dysfunction and mortality risk prediction

Artificial intelligence-enabled electrocardiographic screening for left ventricular systolic dysfunction and mortality risk prediction

BackgroundLeft ventricular systolic dysfunction (LVSD) characterized by a reduced left ventricular ejection fraction (LVEF) is associated with adverse patient outcomes. We aimed to build a deep neural network (DNN)-based model using standard 12-lead electrocardiogram (ECG) to screen for LVSD and str...

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Bibliographic Details
Main Authors: Yu-Chang Huang, Yu-Chun Hsu, Zhi-Yong Liu, Ching-Heng Lin, Richard Tsai, Jung-Sheng Chen, Po-Cheng Chang, Hao-Tien Liu, Wen-Chen Lee, Hung-Ta Wo, Chung-Chuan Chou, Chun-Chieh Wang, Ming-Shien Wen, Chang-Fu Kuo
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
electrocardiogram
left ventricular systolic dysfunction
left ventricular ejection fraction
all-cause mortality
deep neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1070641/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2023.1070641/full

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