基础医学与临床 ›› 2022, Vol. 42 ›› Issue (11): 1644-1649.doi: 10.16352/j.issn.1001-6325.2022.11.1644

• 特邀专题:人工智能在医学中的应用 • 上一篇    下一篇

人工智能在心血管疾病研究和临床中的应用

吴岳恒1, 余细勇2*   

  1. 1.广东省人民医院/广东省医学科学院 广东省华南结构性心脏病重点实验室,广东 广州 510080;
    2.广州医科大学药学院 国家药监局胸腔疾病药物临床研究与评价重点实验室,广东 广州 511436
  • 收稿日期:2022-07-15 修回日期:2022-08-25 出版日期:2022-11-05 发布日期:2022-11-01
  • 通讯作者: * yuxycn@aliyun.com

Application of artificial intelligence in cardiovascular disease research and clinical practice

WU Yue-heng1, YU Xi-yong2*   

  1. 1. Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080;
    2. NMPA and State Key Laboratory of Thoracic Disease, School of Pharmaceutical Sciences, Guangzhou Medical University, Guangzhou 511436, China
  • Received:2022-07-15 Revised:2022-08-25 Online:2022-11-05 Published:2022-11-01
  • Contact: * yuxycn@aliyun.com

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。

关键词: 人工智能, 心血管疾病, 临床应用

Abstract: 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.

Key words: artificial intelligence(AI), cardiovascular diseases(CVDs), clinical application

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