INTEGRATION OF ARTIFICIAL INTELLIGENCE IN CARDIOVASCULAR RISK PREDICTION: A PARADIGM SHIFT IN PREVENTIVE CARDIOLOGY

Аннотация

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide. Traditional risk assessment models, while valuable, often lack the precision needed for individualized patient care. The advent of artificial intelligence (AI) offers a transformative approach to risk prediction, enabling the analysis of complex datasets to identify patterns and risk factors with unprecedented accuracy. This study explores the integration of AI in cardiovascular risk prediction, examining various AI models, their applications in clinical settings, and the potential benefits and challenges associated with their implementation. By analyzing recent studies and clinical trials, we aim to provide a comprehensive overview of how AI is reshaping preventive cardiology. Keywords: Artificial intelligence, cardiovascular diseases, risk prediction, machine learning, preventive cardiology, deep learning, clinical decision support systems.