摘要
心电图对于心血管疾病的诊断具有重要作用,但其准确判读要求医师具备扎实的专业知识基础与丰富的临床经验。人工智能是当前的研究热点之一,大量研究致力于开发基于心电图的人工智能模型,以提高心电图诊断冠状动脉疾病的可靠性。本文综述了人工智能心电图在冠状动脉病变检测方面的重要进展,并讨论了其临床意义、发展前景及局限性。
Electrocardiogram(ECG)plays an important role in the diagnosis of cardiovascular diseases,but accurate ECG interpretation requires solid foundation of professional knowledge and rich clinical experience of physicians.Artificial intelligence(AI)has been one of hot research topics at present.Loads of research is devoted to developing AI models based on ECG,trying to elevate the reliability of ECG in diagnosing coronary artery diseases.This review introduces the important advances of AI-enabled ECG in the detection of coronary artery lesions,and discusses its clinical significance,development prospects and limitations.
作者
魏子豫
刘兴鹏
WEI Ziyu;LIU Xingpeng(Heart Center,Beijing Chao-Yang Hospital,Capital Medical University,Beijing 100020,China)
出处
《实用心电学杂志》
2022年第6期381-385,共5页
Journal of Practical Electrocardiology
基金
北京市自然科学基金资助项目(7202050)。
关键词
心电图
人工智能
机器学习
冠心病
electrocardiogram
artificial intelligence
machine learning
coronary artery disease