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人工智能在预防心脏病学中的应用。

Artificial intelligence in preventive cardiology.

机构信息

Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.

Cardiometabolics Unit, Mount Sinai Hospital, Mount Sinai Heart, NY, United States of America.

出版信息

Prog Cardiovasc Dis. 2024 May-Jun;84:76-89. doi: 10.1016/j.pcad.2024.03.002. Epub 2024 Mar 7.

Abstract

Artificial intelligence (AI) is a field of study that strives to replicate aspects of human intelligence into machines. Preventive cardiology, a subspeciality of cardiovascular (CV) medicine, aims to target and mitigate known risk factors for CV disease (CVD). AI's integration into preventive cardiology may introduce novel treatment interventions and AI-centered clinician assistive tools to reduce the risk of CVD. AI's role in nutrition, weight loss, physical activity, sleep hygiene, blood pressure, dyslipidemia, smoking, alcohol, recreational drugs, and mental health has been investigated. AI has immense potential to be used for the screening, detection, and monitoring of the mentioned risk factors. However, the current literature must be supplemented with future clinical trials to evaluate the capabilities of AI interventions for preventive cardiology. This review discusses present examples, potentials, and limitations of AI's role for the primary and secondary prevention of CVD.

摘要

人工智能(AI)是一门力求将人类智能的各个方面复制到机器中的学科。预防心脏病学是心血管(CV)医学的一个分支,旨在针对和减轻心血管疾病(CVD)的已知风险因素。AI 融入预防心脏病学可能会引入新的治疗干预措施和以 AI 为中心的临床医生辅助工具,以降低 CVD 的风险。已经研究了 AI 在营养、减肥、身体活动、睡眠卫生、血压、血脂异常、吸烟、饮酒、娱乐性药物和心理健康方面的作用。AI 具有巨大的潜力可用于筛查、检测和监测上述风险因素。然而,目前的文献必须辅以未来的临床试验,以评估 AI 干预措施在预防心脏病学中的作用。这篇综述讨论了 AI 在 CVD 一级和二级预防中的现有应用、潜力和局限性。

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