实用心电与临床诊疗2025，Vol.34Issue(4)：469-476,8.DOI:10.13308/j.issn.2097-5716.2025.04.001
人工智能在室性心律失常中的应用:现状与未来
Application of artificial intelligence in ventricular arrhythmia:current status and future perspectives
摘要
Abstract
Artificial intelligence(AI)has significantly improved the screening and diagnostic efficiency of ventricular arrhythmia(VA)through electrocardiogram(ECG)interpretation and wearable device monitoring.In the treatment field,AI has made significant progress in assisting the localization of premature ventricular contraction origins and optimizing strategies for implantable cardioverter defibrillator therapies.AI models excel in predicting the risk of fatal VA,providing robust support for individualized prevention and treatment.This review further discusses challenges such as data quality,model interpretability,and clinical translation,as well as the role of multimodal data integration and interdisciplinary collaboration in advancing the precision medicine for VA.In the future,AI is expected to play a more pivotal role in remote healthcare,and individualized diagnosis and treatment,comprehensively enhancing diagnostic accuracy,treatment efficiency,and quality of life for VA patients.关键词
人工智能/室性心律失常/机器学习/深度学习/心电图Key words
artificial intelligence/ventricular arrhythmia/machine learning/deep learning/electrocardiogram分类
医药卫生引用本文复制引用
俞涛,朱文青..人工智能在室性心律失常中的应用:现状与未来[J].实用心电与临床诊疗,2025,34(4):469-476,8.基金项目
上海市经济和信息化委员会创新医疗器械应用示范项目(23SHS00900) （23SHS00900）
