A systematic review on cardiovascular risk stratification in the artificial intelligence paradigm using radiogenomics

Background

The cardiovascular risk and patient management are evaluated on the basis of risk scores that account for the multifactorial risk factors and thus fail in the estimation of an individual’s cardiovascular disease (CVD) risk. Advances in the field of medical imaging, especially cardiac computed tomography angiography (CTA) and magnetic resonance imaging (MRI), have laid the foundation of radiogenomics.