人工智能在阵发性心房颤动诊断中的研究进展

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[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

[中图分类号] R540.41［文献标志码]A[文章编号] 2097-5716（2025)05-0641-08

DOI: 10.13308/j.issn.2097-5716.2025.05.004

［引用格式］,,．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.

Research progress artificial inteligence in diagnosis paroxysmal atrial fibrillationLI Jiaxin 1 ，WANG Han’，FAN Ping²（1.Department Cardiology，2.Department Cardiac Function,the versity， Urumqi 830oO2， China)

[Abstract]Paroxysmal atrial fibrilltion （PAF） is a type arrhythmias with high morbidityand mortality.It is characterized bybrief episodes atrial fibrillation that terminate spontaneously.Particularlyinpatientswith cryptogenic stroke or transient ischemic attack，the detection rate PAF is even higher.If it is not identified in time，the risk strokeand heart failure will further increase.Since PAF is ten asymptomatic or occurs silently, earlyscreeningand management are key to preventing related complications.The application artificial inteligence technologyinthemedical fieldhasprovidednew toolsand methods forthe diagnosisPAF.Thisarticlereviews recent research and practical value artificial inteligence technology in assisting PAF screening，prediction, diagnosis and management，and discusses its application prospects and challenges in the field PAF.

[Key words] artificial intelligence； paroxysmal atrial fibrillation； electrocardiogram；deep learning;machine learning

心房颤动（简称房颤)是全球最常见的持续性心律失常，影响全球数百万人[]，其发病率随着年龄的增长而升高。（剩余19331字）