Mount Sinai researchers unveiled an advanced Graph Neural Network-based AI that analyzes large-scale electronic health records to precisely identify atrial fibrillation patients who require anticoagulation therapy to prevent stroke. This breakthrough offers individualized clinical decision support, potentially transforming cardiology care by optimizing treatment initiation and reducing adverse bleeding risks across diverse patient populations.