AI在心血管疾病诊疗中的应用现状

曹一挥 , 李 超 , 杨俊杰 , 陈韵岱*
中国人民解放军总医院第六医学中心心血管病医学部,北京 100048

摘 要:

随着人工智能技术的飞速发展,医学和人工智能的融合程度日益加剧,而在医学领域中,由于我国人口老龄化的加剧,心血管病危险因素对居民健康的影响越加显著。该文将重点从心血管疾病诊疗的风险预警、疾病诊断和疾病治疗三个环节,论述人工智能技术的应用研究现状,旨在借此展示人工智能在医学健康,尤其是心血管疾病诊疗等领域的巨大潜力。尽管人工智能在该领域的应用相对成熟,但依然存在变量与结果之间关系尚不能明确以及缺乏外部验证等问题,这也是研究者们目前亟需解决的瓶颈挑战。未来,在心血管疾病诊疗领域,人工智能将可以识别出更多因细微而可能被遗漏的影像学特征以及进行风险评估,从而有效地降低心衰发病率。

通讯作者:陈韵岱 , Email:cyundai@vip.163.com

Application status of AI in diagnosis and treatment of cardiovascular diseases
CAO Yi-Hui , LI Chao , YANG Jun-Jie , CHEN Yun-Dai*
Department of Cardiovascular Medicine, Sixth Medical Center, PLA General Hospital, Beijing 100048, China

Abstract:

With the rapid development of artificial intelligence technology, the degree of integration of medicine and artificial intelligence is increasingly strengthened, and in the medical field, due to the aggravated aging of population in China, the impact of cardiovascular risk factors on the residents' health has become more and more significant. This paper focuses on the risk warning, diagnosis and treatment of cardiovascular diseases, and discusses the application and research status of artificial intelligence technology, aiming to demonstrate the great potential of artificial intelligence in medical health, especially in the field of cardiovascular disease diagnosis and treatment. Although the application of artificial intelligence in this field is relatively mature, there are still some problems such as the unclear relationship between variables and results and the lack of external verification, which are the bottleneck challenges that researchers need to solve at present. In the future, in the field of cardiovascular disease diagnosis and treatment, artificial intelligence will be able to identify more subtle imaging features that may be missed and perform risk assessment, so as to effectively reduce the incidence of heart failure.

Communication Author:CHEN Yun-Dai , Email:cyundai@vip.163.com

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