Researchers at Mount Sinai have developed a Graph Neural Network (GNN)-based artificial intelligence model to better identify atrial fibrillation patients who need anticoagulation therapy to prevent stroke. Leveraging vast electronic health record datasets, the AI provides individualized risk assessments, potentially improving clinical decision-making and reducing over- or under-treatment associated with current guidelines. This technology represents a significant advance in personalized cardiology care.