Researchers at Mount Sinai developed an AI model that provides individualized treatment recommendations for atrial fibrillation patients. This model leverages patient data to optimize anticoagulation therapy, enhancing treatment accuracy and patient outcomes in clinical settings across the healthcare sector.

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