Applications and challenges of artificial intelligence in the clinical management of coronary artery disease:from imaging analysis to multi-omics integration
10.16352/j.issn.1001-6325.2025.02.0160
- VernacularTitle: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
- Author:
Wenjie CHEN
1
;
Yiming LIU
;
Yuchen SHI
;
Jinghua LIU
Author Information
1. 首都医科大学附属北京安贞医院 冠心病中心,北京 100029
- Keywords:
coronary heart disease;
artificial intelligence;
deep learning;
machine learning;
multi-omics integration
- From:
Basic & Clinical Medicine
2025;45(2):160-167
- CountryChina
- Language:Chinese
-
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.
