AI Approach For Enhancing MACE Survival Analysis In CT Calcium Score Images Through Expanded Calcification Features

Introduction: Several studies have demonstrated that the whole-heart Agatston score obtained from CT calcium score (CTCS) images is a good predictor of major adverse cardiovascular events (MACE). Buoyed by publications showing additional discrimination using assessments like numbers of calcifications and territories, we have developed an AI approach using machine learning on many individual calcification features (deemed calcium-omics).