ARTIFICIAL INTELLIGENCE IN CARDIOVASCULAR RISK ASSESSMENT: CURRENT APPLICATIONS AND FUTURE PROSPECTS

Abstract

of technology, the focus on Artificial Intelligence (AI) in cardiovascular risk evaluation has been on the increase. This review examines factors such as population health management, patient care, and risk prediction that AI techniques, including machine learning, deep learning, and natural language processing assist in such improvement. In contrast to traditional methods, AI models outperform in the prediction of major cardiovascular events data derived from genetic information, imaging techniques, and e-health records due to their ability to handle huge quantities of data.