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NCT07145996
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.
NA trial testing AI Based Exercises in Non Specific Low Back Pain in 120 participants. Not yet recruiting.
1 August 2026
Quick facts
| Lead sponsor | Majmaah University |
|---|---|
| Phase | NA |
| Status | Not yet recruiting |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | factorial |
| Masking | double |
| Primary purpose | treatment |
| Enrollment | 120 |
| Start date | 1 October 2025 |
| Primary completion | 1 August 2026 |
| Estimated completion | 1 September 2026 |
Drugs / interventions tested
- AI Based Exercises
- Standard Telerehabilitation
Conditions studied
- Non Specific Low Back Pain — all drugs for Non Specific Low Back Pain →
Sponsor
Majmaah University
Who can join
Adults 18 to 30, any sex, with Non Specific Low Back Pain. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07145996 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Majmaah University
- Last refreshed: 30 September 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07145996.
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