Artificial intelligence in preventive cardiology

Adham El Sherbini, Robert S. Rosenson, Mahmoud Al Rifai, Hafeez Ul Hassan Virk, Zhen Wang, Salim Virani, Benjamin S. Glicksberg, Carl J. Lavie, Chayakrit Krittanawong

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations

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.

Original languageEnglish
Pages (from-to)76-89
Number of pages14
JournalProgress in Cardiovascular Diseases
Volume84
DOIs
StatePublished - 1 May 2024

Keywords

  • Alcohol
  • Artificial intelligence
  • Blood pressure
  • Dyslipidemia
  • Machine learning
  • Mental health
  • Nutrition
  • Physical activity
  • Preventive cardiology
  • Recreational drugs
  • Sleep hygiene
  • Smoking
  • Weight loss

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