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人工智能解读心电图在心血管系统研究现状:一项系统性综述

孜拉兰·马合木提 范平

实用心电与临床诊疗2025,Vol.34Issue(5):631-636,6.
实用心电与临床诊疗2025,Vol.34Issue(5):631-636,6.DOI:10.13308/j.issn.2097-5716.2025.05.002

人工智能解读心电图在心血管系统研究现状:一项系统性综述

Artificial intelligence-enabled electrocardiogram interpretation in cardiovascular disease:a systematic review of current landscape

孜拉兰·马合木提 1范平1

作者信息

  • 1. 830054 新疆乌鲁木齐,新疆医科大学第一附属医院心功能科
  • 折叠

摘要

Abstract

Electrocardiogram(ECG)serves as a crucial tool for diagnosing cardiovascular diseases.With the rapid advancement of artificial intelligence(AI)technology,the application of AI in ECG analysis has gradually become a research hotspot.AI technology not only enables automated and accurate ECG interpretation,but also significantly improves the efficiency and accuracy of large-scale cardiovascular disease screening in populations.This review summarizes the latest progress in AI-assisted ECG analysis for cardiovascular system diseases,with a focus on its applications in arrhythmias,structural heart diseases,and acute cardiovascular events.Furthermore,it discusses development directions.As explainable AI technology evolves in the future,AI-ECG models are expected to be more widely adopted in clinical practice.

关键词

人工智能/心电图/心血管系统/系统性综述

Key words

artificial intelligence/electrocardiogram/cardiovascular system/systematic review

分类

临床医学

引用本文复制引用

孜拉兰·马合木提,范平..人工智能解读心电图在心血管系统研究现状:一项系统性综述[J].实用心电与临床诊疗,2025,34(5):631-636,6.

基金项目

国家卫生健康委医院管理研究所项目(LY2025JY016) (LY2025JY016)

新疆维吾尔自治区"天山英才"医药卫生高层次人才项目(TSYC202401A069) (TSYC202401A069)

实用心电与临床诊疗

2095-9354

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