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

doi:10.16352/j.issn.1001-6325.2025.02.0160

摘要/Abstract

摘要： 冠状动脉粥样硬化性心脏病(简称冠心病)是我国最常见的心血管疾病之一,患者数量持续增长,个性化和精准治疗面临诸多挑战。人工智能凭借其在处理和分析医疗数据方面的优势,通过整合临床信息、影像检查和各种组学分析,人工智能为临床医生提供精准的诊断和治疗建议,并在风险预测、诊断优化及个性化治疗策略制定中发挥重要作用。本文探讨人工智能在冠心病诊疗中的应用,分析其在风险预测、诊断优化和治疗决策中的贡献与面临的挑战,展望其在心血管医学领域的未来发展潜力。

关键词: 冠心病, 人工智能, 深度学习, 机器学习, 多组学联合

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

中图分类号:

R541

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.

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.

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