At a glance
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Telerehabilitation for Multiple Sclerosis: Artificial Intelligence vs. Conventional Approaches in Strength Training. A Sin-gle-Blinded Randomized Clinical Trial
In Brief
A clinical study evaluating Telerehabilitation and Exercise program for Multiple Sclerosis. Completed, enrolled 58 participants across 1 site.
Detailed 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.
Study Details
Timeline
Interventions
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
CG participants followed the exercise program and trained at home with images and videos as support.