TY - JOUR
T1 - Artificial intelligence in preventive cardiology
AU - El Sherbini, Adham
AU - Rosenson, Robert S.
AU - Al Rifai, Mahmoud
AU - Virk, Hafeez Ul Hassan
AU - Wang, Zhen
AU - Virani, Salim
AU - Glicksberg, Benjamin S.
AU - Lavie, Carl J.
AU - Krittanawong, Chayakrit
N1 - Publisher Copyright:
© 2023
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Alcohol
KW - Artificial intelligence
KW - Blood pressure
KW - Dyslipidemia
KW - Machine learning
KW - Mental health
KW - Nutrition
KW - Physical activity
KW - Preventive cardiology
KW - Recreational drugs
KW - Sleep hygiene
KW - Smoking
KW - Weight loss
UR - http://www.scopus.com/inward/record.url?scp=85193324107&partnerID=8YFLogxK
U2 - 10.1016/j.pcad.2024.03.002
DO - 10.1016/j.pcad.2024.03.002
M3 - Review article
C2 - 38460897
AN - SCOPUS:85193324107
SN - 0033-0620
JO - Progress in Cardiovascular Diseases
JF - Progress in Cardiovascular Diseases
ER -