Mount Sinai researchers developed a Graph Neural Network-based AI that precisely identifies which patients with atrial fibrillation require anticoagulant therapy to prevent stroke. Leveraging extensive electronic health records, the model offers individualized risk assessments, potentially optimizing treatment decisions and reducing over- or under-prescription of blood thinners. This innovation marks a significant advance in precision cardiology.