AI-Enhanced Telerehabilitation Program Using Automated Video Analysis and Personalized Feedback on Pain, Disability, Mobility, Endurance, for Chronic Non-Specific Low Back Pain in College Students.
CompletedNot applicableNCT07145996
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This study has no listed site in Canada in this snapshot. It is included as part of the worldwide chronic pain corpus.
Brief summary (from the registry)
This study tests whether an artificial intelligence (AI)-enhanced telerehabilitation program can effectively treat chronic non-specific low back pain in college students. Low back pain affects 40-52% of university students due to prolonged sitting during lectures and study sessions, poor posture from laptop use, and lack of physical activity. While exercise therapy is the recommended treatment, many students cannot access traditional physiotherapy due to cost, scheduling conflicts, and location barriers. This randomized controlled trial compares three treatment approaches: (1) AI-enhanced telerehabilitation with automated video analysis and personalized feedback, (2) standard telerehabilitation with video instructions only, and (3) usual care. The AI system uses computer vision technology (Google MediaPipe Pose) to analyze exercise videos through a standard webcam or smartphone, automatically tracking joint movements, counting repetitions, and providing real-time feedback on exercise form. College students with chronic low back pain (lasting more than 3 months) will be randomly assigned to one of the three groups. The AI-enhanced group will receive personalized exercise programs delivered remotely, with the AI system monitoring their performance and physiotherapists providing guidance through video consultations. The study will measure changes in pain levels, disability, physical function, trunk muscle endurance, and quality of life over 8 weeks of treatment and 3 months of follow-up. Researchers will also evaluate how well participants stick to their exercise programs and how easy the technology is to use. This research aims to determine if AI technology can make remote physiotherapy more effective and accessible for college students, potentially transforming how young adults receive treatment for back pain and improving their long-term health outcomes.
Study details
- Official title
- AI-Enhanced Telerehabilitation Program Using Automated Video Analysis and Personalized Feedback on Pain, Disability, Mobility, Endurance, for Chronic Non-Specific Low Back Pain in College Students: A Randomized Controlled Trial
- Conditions
- Non Specific Low Back Pain
- Interventions
- Other: AI Based Exercises
- Other: Standard Telerehabilitation
- Sponsor
- Majmaah University
- Collaborators
- Galgotias University
- Start date
- 2025-11-25
- Primary completion
- 2026-08-01
- Sex
- All
- Age range
- from 18 Years to 30 Years
- Healthy volunteers
- true
- Results posted
- No results posted in this snapshot
- Countries
- India
- Total sites listed
- 1
Eligibility criteria
Show eligibility criteria (verbatim from the registry)
Inclusion Criteria * Age 18-30 years, currently enrolled in undergraduate or postgraduate study. * Diagnosis of non-specific LBP for at least 3 months. * Baseline pain intensity between 3 and 7 (NRS). * Ability and willingness to perform prescribed exercises and participate in video conferencing. * Access to suitable device and reliable internet. * Informed consent obtained. Exclusion Criteria * Specific causes of LBP (e.g., fracture, tumor, infection, inflammatory disease). * Recent spinal surgery or confirmed disc herniation (within past year). * Neurological deficits or severe comorbid conditions contraindicating exercise. * Pregnancy or current participation in another structured LBP program. * BMI ≥ 35 kg/m² (could impair AI pose detection). * Inability to understand English instructions or complete measures.
Source: ClinicalTrials.gov (US National Library of Medicine), snapshot October 2026. Check the registry for current recruiting status. Record: https://clinicaltrials.gov/study/NCT07145996