NCT06871072

Telerehabilitation for Multiple Sclerosis

Telerehabilitation for Multiple Sclerosis: Artificial Intelligence vs. Conventional Approaches in Strength Training. A Sin-gle-Blinded Randomized Clinical Trial

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 58 (actual)
• Sponsor: University of Cadiz · Academic / Other
• Sex: All
• Age: 35 Years – 60 Years
• Healthy volunteers: Accepted

Summary

Multiple sclerosis (MS) is a neurodegenerative disease affecting the central nervous system and is a leading cause of disability in young adults. It often produces strength deficits. Exercise has been shown to improve strength, mobility, and quality of life while reducing fatigue. Telerehabilitation offers a convenient, accessible alternative for MS patients. This study explores the use of an AI-powered application for prescribing and monitoring strength exercises, ensuring continuous feedback and adherence. Methods: Randomized clinical trial. Intervention of 3 weekly strength training ses-sions for 20 weeks, patients in the experimental group used the AI application, while patients in the control group followed the conventional method, paper-based exercises with access to videos.

Conditions

• Multiple Sclerosis

Interventions

Type	Name	Description
OTHER	Telerehabilitation	EG performed using an artificial intelli-gence (AI) application called RehBody, which detects body segments, assists in cor-recting the technique and monitoring the exercise, number of sets and repetitions done, and the adherence percentage
OTHER	Exercise program	CG participants followed the exercise program and trained at home with images and videos as support.

Timeline

• Start date: 2025-04-01
• Primary completion: 2025-08-15
• Completion: 2025-08-31
• First posted: 2025-03-11
• Last updated: 2025-09-19

Locations

1 site across 1 country: Spain