心电人工智能自动分析的现实需求和关键问题

Practical demand and key issues of automatic analysis of ECG artificial intelligence

心电图分析是人工智能自动分析运用最早和最成功的领域之一。要建立具有权威性并能开源或移植的心电数据库、产生优秀的算法,需要依靠计算机技术、生物医学工程等学科以及医疗专业人员的合作与磨合,也需要医疗机构、医疗学术和行政部门、科技公司的通力协作;而要更好地推广和应用,还需要配套相对完善的政策和法律法规。本文分析了心电人工智能自动分析的需求,数据库、算法的现状和存在的关键问题。

Electrocardiogram(ECG)analysis is one of the earliest and the most successful fields of automated analysis using artificial intelligence(AI).The establishment of authoritative and open-sourced or transplantable ECG database,and the generation of excellent algorithms require for the cooperation and running-in of disciplines including computer technology and biomedical engineering,and medical professionals.It also needs medical institutions,medical academic disciplines and administrative departments,and science and technology companies to work together;it also needs supports from a set of improved policies,laws and regulations to make a better promotion and application.This paper analyzes the demand,status of database and algorithm,and the existing key issues of ECG AI automatic analysis.