AI-driven rehabilitation vs traditional physical therapy for low back dysfunction
Official title: Efficacy of an Artificial Intelligence-Driven Program Versus a Traditional Physical Therapy Program in Patients With Low Back Dysfunction
Run by Cairo University · NCT07749833 · Data updated 2026-11-12
This study tests whether an artificial intelligence–driven rehab program can improve pain, function, and quality of life more than standard physical therapy in adults with long-standing low back dysfunction.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 45 Years |
| Sex | All |
| Enrollment | 68 (estimated) |
| Sponsor | Cairo University Academic / other |
| Locations | 1 site (Giza, Giza Governorate) |
| Status | Recruiting |
| Started | August 20, 2026 |
| Main results expected | December 2026 |
| Study ends | May 2027 |
| Registry record updated | October 21, 2026 |
| Trial ID | NCT07749833 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18–45 with a clinically diagnosed low back dysfunction persisting at least 3 months who can participate in either AI-based or traditional rehabilitation and have access to required technology.
✕Probably not a fit
Individuals with recent spinal injury or surgery, severe neurological or psychiatric conditions, advanced mobility limitations, or inability to use the AI tools may not benefit from this approach.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This randomized controlled trial compares an artificial intelligence–driven rehabilitation program to a traditional physical therapy program in adults with low back dysfunction lasting more than three months. Participants are randomly assigned to either the AI-based approach or standard therapy and outcomes are measured before and after treatment, focusing on pain, functional disability, and quality of life. The study aims to determine if AI can enhance personalized exercise prescription, adherence monitoring, and real-time feedback to yield superior clinical outcomes. The trial is conducted at Cairo University, with a lead sponsor and no listed collaborators. Eligible participants must be 18–45 years old, have a clinician-confirmed diagnosis, and be able to engage with the respective rehabilitation tools.
Why it matters
Potential benefit: If successful, patients could experience greater reductions in pain and disability and improvements in quality of life through a personalized AI-guided rehabilitation approach.
How similar studies have gone: Prior work suggests AI-assisted rehabilitation has potential benefits, but results are still emerging and context-dependent.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adults aged 18-45 years. * Male or female participants. * Clinical diagnosis of low back dysfunction by a physiotherapist or physician. * Symptoms lasting more than 3 months. * Ability to participate in physical therapy or use AI-based rehabilitation tools. * Willingness to comply with the study protocol and provide written informed consent. Exclusion Criteria: * Recent spinal injury or spinal surgery. * Previous spinal surgery within the last 6 months. * Severe neurological disorders (e.g., multiple sclerosis or Parkinson's disease). * Chronic conditions that significantly limit mobility (e.g., advanced arthritis). * Current use of strong opioid analgesics. * Severe psychiatric disorders. * Inability to use or access the required technology for the AI intervention.
Where it's running
-
Faculty of Physical Therapy, Cairo University - Research Laboratory
Giza, Giza Governorate, Egypt Recruiting
Study contacts
- Study coordinator: Dalia A Youssef, MSc, PT
- Email: Daliayoussef151023@gmail.com
- Phone: +20 101 578 8109
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.