This project develops an AI-powered assistant that helps primary care physicians detect early signs of Alzheimer’s by synthesizing evidence from clinical research - especially lifestyle factors like sleep - during routine patient visits. It addresses a critical gap where specialists rely on PCPs for early detection, but PCPs lack the tools and time to interpret complex and evolving evidence in real time. By delivering clear, evidence-based guidance at the point of care, the system aims to improve early intervention decisions while reducing unnecessary specialist referrals and system inefficiencies.

(Graduate Assistant: Sahana Sathiyanarayanan)