Artificial intelligence enabled ECG screening for left ventricular systolic dysfunction: a systematic review

被引：0
作者：
Laura Vindeløv Bjerkén
Søren Nicolaj Rønborg
Magnus Thorsten Jensen
Silas Nyboe Ørting
Olav Wendelboe Nielsen
机构：
[1] University of Copenhagen,Department of Clinical Medicine
[2] Copenhagen University Hospital Bispebjerg,Department of Cardiology
[3] Copenhagen University Hospital Amager and Hvidovre,Department of Cardiology
[4] University of Copenhagen,Faculty of Health and Medical Sciences
[5] William Harvey Research Institute,Department of Computer Science
[6] Queen Mary University Hospital,undefined
[7] University of Copenhagen,undefined
来源：
Heart Failure Reviews | 2023年 / 28卷
关键词：
Artificial intelligence; Electrocardiogram; Left ventricular systolic dysfunction; Reduced left ventricular ejection fraction; Screening;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Screening for left ventricular systolic dysfunction (LVSD), defined as reduced left ventricular ejection fraction (LVEF), deserves renewed interest as the medical treatment for the prevention and progression of heart failure improves. We aimed to review the updated literature to outline the potential and caveats of using artificial intelligence–enabled electrocardiography (AIeECG) as an opportunistic screening tool for LVSD.
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页码：419 / 430
页数：11
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