Medical Large Language Model-Assisted Diagnosis and Treatment in Primary Care Chronic Disease Management

This study aims to explore the feasibility of using medical large language models to assist in chronic disease management. By setting up experimental and control group interventions and having experts blindly evaluate anonymized cases, it compares different management approaches in chronic disease care, verifying the scientific basis, effectiveness, and potential for broader use of medical large language models in supporting chronic disease management.

NCT Number	NCT07740044
Lead Sponsor	Jiangsu Taizhou People's Hospital
Conditions	Coronary Artery Disease, Atrial Fibrillation (AF), Heart Failure, Stroke
Enrollment	20 participants
Start Date	2026-08-17
Primary Completion	2026-09-30 (estimated)
Study Completion	2026-11-30 (estimated)
Updated on ClinicalTrials.gov	2026-07-31