Causal Ai Quantifies Cv Risk, Providing Patient-specific Goals

A new study presented at the joint scientific sessions of the American College of Cardiology and the World Heart Federation has found that causal artificial intelligence (AI) can translate polygenic scores (PGS) and other genetic information into risk reduction strategies for coronary artery disease (CAD) tailored for each individual patient. The AI system has the ability to encode the biological causes of CAD and can both predict outcomes and prescribe targeted treatments to reduce risk.