Risk assessment in suspected acute coronary syndrome with decision support tools and artificial intelligence
Acute coronary syndrome (ACS), including acute myocardial infarction (AMI), are a leading cause ofmorbidity and mortality worldwide. Accurate risk evaluation in patients presenting with chest pain isessential for optimizing emergency department (ED) resource allocation and patient outcomes. Currentclinical decision support tools rely on structured risk scores and biomarker measurements, such as hi
