基础医学与临床2025，Vol.45Issue(2)：160-167,8.DOI:10.16352/j.issn.1001-6325.2025.02.0160
人工智能在冠心病临床诊疗中的应用与挑战:从影像学分析到多组学联合
Applications and challenges of artificial intelligence in the clinical management of coronary artery disease:from imaging analysis to multi-omics integration
摘要
Abstract
Coronary heart disease(CHD)is one of the most prevalent cardiovascular diseases in China,with a continuously growing patient population,presenting numerous challenges for personalized and precise treatment.Artificial intelligence(AI),leveraging its advantages in processing and analyzing medical data,integrates clinical information,imaging examinations,and various omics analyses to provide clinicians with accurate diag-nostic and treatment recommendations.AI plays a crucial role in risk prediction,diagnostic optimization,and the development of personalized treatment strategies.This article explores the applications of AI in the diagnosis and treatment of CHD,analyzing its contributions and challenges in risk prediction,diagnostic optimization,and treatment decision-making,while also envisioning its future developmental in the field of cardiovascular medicine.关键词
冠心病/人工智能/深度学习/机器学习/多组学联合Key words
coronary heart disease/artificial intelligence/deep learning/machine learning/multi-omics integration分类
临床医学引用本文复制引用
陈文杰,刘怡铭,史雨晨,柳景华..人工智能在冠心病临床诊疗中的应用与挑战:从影像学分析到多组学联合[J].基础医学与临床,2025,45(2):160-167,8.基金项目
国家自然科学基金(82200441,81970291,82170344) （82200441,81970291,82170344）
北京市青年人才托举工程(BYESS2023238) （BYESS2023238）
北京市医院管理中心"青苗计划"项目(QML20230607) （QML20230607）
