摘要
本文从心血管疾病的诊断、预测、治疗和基础研究等多方面简述了人工智能(AI)在心血管疾病研究和临床中的应用,回顾了AI在这些领域的应用,分析了其面临的困难和未来前景。AI在心血管疾病的诊断和预测领域已经取得广泛进展,如AI结合心电图和心血管影像数据可实现精准诊断,AI联合心血管影像数据和其他临床数据可实现冠状动脉疾病、先天性心脏病、心力衰竭等心血管疾病的早期筛查和风险预测,但其适用范围仍有待进一步观察。此外,AI辅助的心血管介入治疗和临床决策等尚处于开发阶段,AI辅助的多组学研究也远未达到临床应用水平,是未来的主要研究方向。在此基础上,总结了AI在心血管疾病的诊断、预测、治疗和基础研究中所面临的问题,并对AI在心血管领域的应用前景进行了展望。
This paper briefly described the application of artificial intelligence(AI)in disease management and clinical research for diagnosis,prediction,treatment,and basic research of cardiovascular diseases(CVDs)and analyzed challenges in this field.The review highlighted extensive progress of AI technology application in the diagnosis and prediction of CVDs.For example,AI combined with ECG and cardiovascular imaging achieved an accurate diagnosis.Moreover,AI may integrate imaging data with other clinical data and so supported early screening and predicting of coronary artery disease,congenital heart disease,heart failure,and other CVDs risk.This paper also pointed out that AI-assisted cardiovascular interventional therapy and clinical decision-making are still on the way of development and AI-assisted multi-omics research is far from clinical application,which is the main direction of future research.In this paper,the problems faced by AI in the diagnosis,prediction,treatment,and basic research of CVDs were summarized and the application prospects of AI in the cardiovascular field have been prospected.
作者
吴岳恒
余细勇
WU Yue-heng;YU Xi-yong(Guangdong Provincial Key Laboratory of South China Structural Heart Disease,Guangdong Provincial People's Hospital&Guangdong Academy of Medical Sciences,Guangzhou 510080;NMPA and State Key Laboratory of Thoracic Disease,School of Pharmaceutical Sciences,Guangzhou Medical University,Guangzhou 511436,China)
出处
《基础医学与临床》
2022年第11期1644-1649,共6页
Basic and Clinical Medicine
关键词
人工智能
心血管疾病
临床应用
artificial intelligence(AI)
cardiovascular diseases(CVDs)
clinical application
