实用心电与临床诊疗2025，Vol.34Issue(5)：641-648,8.DOI:10.13308/j.issn.2097-5716.2025.05.004
人工智能在阵发性心房颤动诊断中的研究进展
Research progress of artificial intelligence in diagnosis of paroxysmal atrial fibrillation
摘要
Abstract
Paroxysmal atrial fibrillation(PAF)is a type of arrhythmias with high morbidity and mortality.It is characterized by brief episodes of atrial fibrillation that terminate spontaneously.Particularly in patients with cryptogenic stroke or transient ischemic attack,the detection rate of PAF is even higher.If it is not identified in time,the risk of stroke and heart failure will further increase.Since PAF is often asymptomatic or occurs silently,early screening and management are key to preventing related complications.The application of artificial intelligence technology in the medical field has provided new tools and methods for the diagnosis of PAF.This article reviews recent research and practical value of artificial intelligence technology in assisting PAF screening,prediction,diagnosis and management,and discusses its application prospects and challenges in the field of PAF.关键词
人工智能/阵发性心房颤动/心电图/深度学习/机器学习Key words
artificial intelligence/paroxysmal atrial fibrillation/electrocardiogram/deep learning/machine learning分类
临床医学引用本文复制引用
李佳欣,王涵,范平..人工智能在阵发性心房颤动诊断中的研究进展[J].实用心电与临床诊疗,2025,34(5):641-648,8.基金项目
新疆维吾尔自治区卫生健康科技计划项目(2025001MXJCSYJSTGXM650030286) （2025001MXJCSYJSTGXM650030286）
