The importance of developing multiparametric prognostic scores to stratify coronary risk by means of artificial intelligence.

Abstract

Cardiovascular risk stratification is crucial, as it is a key predictor of morbidity and mortality. The development of multiparametric scores for coronary risk stratification, integrated with artificial intelligence (AI), is important because it facilitates assessment in clinical practice. Therefore, prognostic coronary risk scores that incorporate multiple clinical variables and cardiac imaging data are necessary and deserve greater attention, as they provide a more comprehensive and accurate evaluation of individual patient risk across various clinical scenarios. Additionally, they support clinicians in making better-informed decisions based on a comprehensive assessment. Importantly, the widespread clinical use of multiparametric risk scores should be enabled by implementing standardized computer interfaces that can exchange the relevant imaging and clinical data needed to calculate these scores. The ongoing AI revolution, which increasingly relies on digital demographic, clinical, and imaging data, is rapidly making the availability of such data a reality.