Bleeding risk assessment tools in patients with atrial fibrillation taking anticoagulants: a comparative review and clinical implications

The future of bleeding risk assessment lies in AI-driven, real-time risk prediction models adapting to dynamic patient profiles. Enhanced integration of digital health solutions and learning health systems will minimize adverse events while optimizing stroke prevention. Future research should prioritize the validation and standardization of these novel tools.