Electrocardiography-based artificial intelligence predicts the upcoming future of heart failure with mildly reduced ejection fraction

Electrocardiography-based artificial intelligence predicts the upcoming future of heart failure with mildly reduced ejection fraction

BackgroundHeart failure with mildly reduced ejection fraction (HFmrEF) has emerged as the predominant subtype of heart failure (HF). This study aimed to develop artificial intelligence (AI)-electrocardiography (ECG) to identify and predict the prognosis of patients with HFmrEF.MethodsWe collected 10...

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Bibliographic Details
Main Authors: Dae-Young Kim, Sang-Won Lee, Dong-Ho Lee, Sang-Chul Lee, Ji-Hun Jang, Sung-Hee Shin, Dae-Hyeok Kim, Wonik Choi, Yong-Soo Baek
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
artificial intelligence
electrocardiography
heart failure
predictability
ejection fraction
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2025.1418914/full
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https://www.frontiersin.org/articles/10.3389/fcvm.2025.1418914/full

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