The Utility of Machine Learning for Cardiology and Cardiac Surgery Risk Assessment Scores

Abstract

Artificial intelligence (AI) has attracted great interest in the world of cardiology and cardiovascular surgery. For simplicity, AI has 3 distinct sectors: machine learning (ML), deep learning, and generative AI. In the case of ML, when calculating cardiovascular risk scores, ML algorithms analyze large, complex datasets (data mining) to predict the risk of morbidity and mortality.