AI vs. human touch: which rehab wins for back pain?
NCT ID NCT07749833
First seen Aug 06, 2026 · Last updated Aug 07, 2026 · Updated 1 time
Summary
This study tests whether an artificial intelligence-driven rehabilitation program can improve outcomes for people with chronic low back dysfunction compared to a standard physical therapy program. Participants will be randomly assigned to either the AI-guided program, which personalizes exercises and provides real-time feedback, or a traditional therapy protocol. The trial will measure pain intensity, functional disability, and quality of life to see if AI can offer a more effective or efficient path to recovery.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI-driven personalized rehabilitation program
- What this could lead to
- If effective, AI-guided physical therapy could offer a more personalized, accessible, and cost-effective way to manage chronic low back pain, potentially improving outcomes and reducing healthcare burdens.
- What could go wrong
- This is a relatively small trial, and the AI program's success depends on user adherence and technology reliability. Results may not generalize to all patients or settings, and the AI approach may not prove superior to traditional therapy.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Faculty of Physical Therapy, Cairo University
Cairo, Cairo Governorate, Egypt
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