人工智能在室性心律失常中的应用：现状与未来

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[关键词］人工智能；室性心律失常；机器学习；深度学习；心电图

[中图分类号]R541.7[文献标志码]A［文章编号]2097-5716（2025）04-0469-08

DOI： 10.13308/j.issn.2097-5716.2025.04.001

［引用格式]，.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.

Application artificial intelligence in ventricular arrhythmia：current statusand future perspectives YU Tao，ZHU Wenqing（ ， ）

[Abstract]Artificial inteligence （AI）has significantly improved the screeningand diagnostic effciency ventricular arhythmia（VA）through electrocardiogram（ECG）interpretationand wearable device monitoring.In the treatment field，AI has made significant progress in asssting the localization premature ventricular contraction originsand optimizing strategies for implantable cardioverter defibrilator therapies.AI models excel in predicting the risk fatal VA，providing robust support for individualizedpreventionand treatment.This review further discusses challenges such as data quality，model interpretability，and clinical translation，as wellas the role multimodaldata integration and interdisciplinarycollaboration in advancing theprecision 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 eficiency，and quality life for VA patients.

[ Key words]artificial intelligence；ventricular arrhythmia；machine learning；deep learning；electrocardiogram

室性心律失常（ventriculararrhythmia，VA）是临床常见的心律失常之一，其中无结构性心脏病患者中发生的非持续性VA通常预后良好。（剩余18051字）