Artificial intelligence in preventive cardiology.

Authors :: El Sherbini A
Rosenson RS
Al Rifai M
Virk HUH
Wang Z
Virani S
Glicksberg BS
Lavie CJ
Krittanawong C
Source :: Progress in cardiovascular diseases [Prog Cardiovasc Dis] 2024 May-Jun; Vol. 84, pp. 76-89. Date of Electronic Publication: 2024 Mar 07.
Publication Year :: 2024
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.<br />Competing Interests: Declaration of competing interest None.<br /> (Copyright © 2023. Published by Elsevier Inc.)