Applications and challenges of artificial intelligence in the clinical management of coronary artery disease: from imaging analysis to multi-omics integration

doi:10.16352/j.issn.1001-6325.2025.02.0160

Abstract

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 diagnostic 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.

Key words: coronary heart disease, artificial intelligence, deep learning, machine learning, multi-omics integration

CLC Number:

R541

CHEN Wenjie, LIU Yiming, SHI Yuchen, LIU Jinghua. Applications and challenges of artificial intelligence in the clinical management of coronary artery disease: from imaging analysis to multi-omics integration[J]. Basic & Clinical Medicine, 2025, 45(2): 160-167.

References 53

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