摘要
近年来,人工智能技术得到了飞速的发展。大数据库的建立,结合高效计算机和云计算平台,再辅以可穿戴设备,人工智能对心电图能够进行自我学习并智能分析。高效准确地给出诊断,在常见心律失常的预警、筛查和临床诊断上都有广阔的应用前景。
In recent years,artificial intelligence has been developing rapidly.With the establishment of large database,the combination of efficient computer and cloud computing platform,supplemented by wearable devices,artificial intelligence can conduct self-learning and intelligent analysis of electrocardiograms.The efficient and accurate diagnosis has a broad prospect in the early warning,screening and clinical diagnosis of common arrhythmia.
作者
袁佳栎
王群山
YUAN Jiali;WANG Qunshan(Department of Cardiology,Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine,Shanghai 200092,China)
出处
《心血管病学进展》
CAS
2020年第10期999-1001,1006,共4页
Advances in Cardiovascular Diseases
基金
国家自然科学基金重大研究计划培育项目(91949128)
国家自然科学基金面上项目(81873485)。
关键词
心律失常
人工智能
诊断
Arrhythmia
Artificial intelligence
Diagnosis