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人工智能技术在电生理诊断中的应用现状
引用本文:王林峰,刘欢庆,周涛. 人工智能技术在电生理诊断中的应用现状[J]. 现代电生理学杂志, 2021, 0(1): 53-56,F0003
作者姓名:王林峰  刘欢庆  周涛
作者单位:湖南中医药大学信息科学与工程学院;长沙县人民医院(湖南省人民医院星沙院区);湖南省人民医院
摘    要:
人工智能理论及技术的不断发展,使其在各行业各领域有着广泛应用。电生理检查通过仪器设备获取人体生物电信号,并以图像形式展现,医师依据图像特征判断和分析疾病。借助人工智能技术自动分析电生理图像信号,能够实现疾病的智能诊断与预测,减少对医师经验的依赖,提升医疗服务水准。本文对人工智能技术在电生理诊断中的研究与应用现状进行综述,为电生理学科的发展提供一定的支撑和参考。

关 键 词:人工智能  电生理学  诊断

Application status of artificial intelligence technology in electrophysiological diagnosis
Wang Linfeng,Liu Huanqing,Zhou Tao. Application status of artificial intelligence technology in electrophysiological diagnosis[J]. Journal of Modern Electrophysiology, 2021, 0(1): 53-56,F0003
Authors:Wang Linfeng  Liu Huanqing  Zhou Tao
Affiliation:(Scholl of Information Science and Engineering,Hunan University of Chinese Medicine,Changsha City,410208,China;Changsha County People's Hospital,Changsha City,410138,China;Hunan General Hospital,Changsha City,410005)
Abstract:
The continuous development of artificial intelligence theory and technology has made it widely used in various fields of various industries.Electrophysiological examination obtains bioelectrical signals of human body through instruments and equipment,and displays them in the form of images.Doctors judge and analyze diseases according to image features.Using artificial intelligence technology to automatically analyze electrophysiological image signals can realize intelligent diagnosis and prediction of diseases,reduce dependence on physician experience,and improve medical service standards.In this paper,the research and application status of artificial intelligence technology in electrophysiology diagnosis are reviewed,which provides some support and reference for the development of electrophysiology.
Keywords:Artificial intelligence  Electrophysiology  Diagnosis
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