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 language | English (US) |
|---|---|
| Pages (from-to) | 76-89 |
| Number of pages | 14 |
| Journal | Progress in Cardiovascular Diseases |
| Volume | 84 |
| DOIs | |
| State | Published - May 1 2024 |
Keywords
- Alcohol
- Artificial intelligence
- Blood pressure
- Dyslipidemia
- Machine learning
- Mental health
- Nutrition
- Physical activity
- Preventive cardiology
- Recreational drugs
- Sleep hygiene
- Smoking
- Weight loss
- Predictive Value of Tests
- Prognosis
- Cardiovascular Diseases/prevention & control
- Humans
- Secondary Prevention/methods
- Cardiology
- Primary Prevention/methods
- Preventive Health Services/methods
- Risk Assessment
- Risk Reduction Behavior
- Artificial Intelligence
- Risk Factors
- Heart Disease Risk Factors
ASJC Scopus subject areas
- Cardiology and Cardiovascular Medicine