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Rehabilitation Exercise Intervention for Rheumatoid Arthritis Patients Using Artificial Intelligence-Based Exercise Prescription System
Sponsor: Peking University Third Hospital
Summary
This is a single-center, randomized, parallel-controlled trial evaluating the efficacy and safety of an artificial intelligence-based exercise prescription system for rehabilitation in rheumatoid arthritis (RA) patients. A total of 147 patients with low-to-moderate disease activity will be randomly assigned to three groups: AI exercise prescription group (personalized AI system guidance), paper exercise prescription group (traditional paper guidance), and routine care group. The intervention will last for 6 weeks with 6-month follow-up assessments evaluating joint function, pain, and quality of life indicators.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
147
Start Date
2025-11-30
Completion Date
2026-03-15
Last Updated
2025-11-24
Healthy Volunteers
No
Conditions
Interventions
AI Exercise Prescription
Uses "Yidong Health AI Exercise Prescription System" delivered via WeChat mini-program, providing personalized exercise prescriptions (three sets: A/B/C) with AI Q\&A module. Physicians adjust prescriptions weekly based on patient feedback.
education and basic joint mobility exercises
Receives standardized RA disease management education and basic joint mobility exercises provided by rheumatology nurses.
paper-based exercise prescription
Receives paper-based exercise prescription developed by rehabilitation therapists, including warm-up, formal training (bridging, modified bird-dog exercise, etc.) and cool-down stretching.
Locations (1)
Department of Rehabilitation Medicine, Peking University People's Hospital
Beijing, Beijing Municipality, China