AI-Powered knee rehab could replace surgery for common injuries
NCT ID NCT07423819
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests a new digital system that uses wearable sensors, cameras, and AI to guide people through knee rehab exercises at home. It focuses on two common knee problems: ACL tears and patellar pain. 160 adults aged 18-50 will do strength, balance, and stretching exercises for 6 months, with regular check-ins to see if the digital approach improves knee function and pain better than standard remote rehab.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Digital rehabilitation system (wearable sensors, machine vision, AI) plus muscle strength, balance, and stretching exercises
- What this could lead to
- If successful, this could provide a more effective, technology-guided home rehab program for common knee injuries, potentially reducing the need for surgery or in-person therapy.
- What could go wrong
- This is an early-stage trial (not yet recruiting) with no prior results. The digital system's accuracy and patient adherence are unproven, and benefits over standard rehab are uncertain.
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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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Beijing Jishuitan Hospital
Beijing, China
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Peking Union Medical College Hospital
Beijing, China
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Peking University People's Hospital
Beijing, China
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Peking University Third Hospital
Beijing, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- A simple hip exercise may boost knee pain recovery — trial puts it to the test
- Can a Hands-On technique boost knee exercise results?