人工智能心电分析技术在临床诊疗中的应用进展

Progress of artificial intelligence-enabled ECG analysis technology applied in clinical diagnosis and treatment

按照人体由内及外的抽象结构顺序,分别从心脏电传导系统、心脏结构(包括瓣膜、心肌、冠状动脉等)、心脏外部其他系统等方面,列举人工智能(artificial intelligence,AI)特别是深度神经网络在心电分析领域的最新研究进展。本文介绍了AI心电分析技术在识别心律失常、电解质紊乱、心脏瓣膜病、冠心病及循环系统、消化系统等疾病方面的应用,还涉及其在个人身份识别领域的创新应用,以及迁移学习等AI技术如何用于实际研究,以期催生更多跨领域合作,挖掘心电图的深层价值,从而实现多系统疾病的筛查、诊断和治疗。

In an order of the abstract structure of the human body from inside to outside,this paper lists the state-of-the-art research advances of artificial intelligence(AI)especially deep neural network in ECG analysis from aspects of electrical conduction system and the structure of the heart(including heart valves,myocardium,coronary arteries,etc.),other systems out of the heart,ect.This paper introduces the application of AI-enabled ECG analysis technology in identifying arhythmias,electrolyte disturbances,valvular heart disease,coronary heart disease,and diseases of the circulation system and digestive system.This paper also covers its innovative application in the field of personal identification,and how to use AI technologies such as transfer learning in practical research.This paper is aimed to promote more cross-field cooperations,explore deep values of ECG,and help to realize the screening,diagnosis and treatment of multi-system diseases.