AI coach could revolutionize how therapists learn massage
NCT ID NCT07767916
First seen Aug 17, 2026 · Last updated Aug 18, 2026 · Updated 1 time
Summary
This study tests whether personalized feedback from sensors and generative AI helps rehabilitation trainees learn Tuina, a manual therapy requiring precise hand movements. About 81 trainees will be randomly assigned to receive AI-supported feedback, sensor data without AI recommendations, or traditional instructor feedback. The main question is whether AI-supported feedback leads to better skill retention four weeks after training, compared to the other methods.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- AI-supported personalized feedback for Tuina skill training
- What this could lead to
- If effective, AI-driven feedback could enhance manual therapy training, improving skill acquisition and patient care.
- What could go wrong
- The trial is small and early, and results may not generalize. AI feedback might not outperform traditional methods or could be less acceptable to learners.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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About 81 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Aug 2026
An estimate. Start dates often move.
- Expected to finish
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Aug 2028
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Aged 18 years or older. * Currently enrolled in or receiving training in rehabilitation medicine, physical therapy, rehabilitation therapy, or a related health profession. * Has not previously achieved the predefined competency standard for the standardized Tuina skill evaluated in this study. * Able to understand the study instructions and independently complete the training tasks and study questionnaires. * Able and willing to attend all scheduled training sessions and the four-week follow-up assessment. * Willing to participate voluntarily and provide written informed consent. Exclusion Criteria: * Current acute injury, clinically significant pain, or functional limitation involving the hand, wrist, upper limb, shoulder, neck, or lower back that may interfere with repeated manual skill practice. * Previous systematic training in the same standardized Tuina technique with performance at or above the predefined competency standard. * Any medical, physical, cognitive, or psychological condition that, in the investigator's judgment, may make participation unsafe or prevent valid completion of the study procedures. * Unable to understand the study procedures or provide informed consent. * Direct involvement in the design, randomization, intervention delivery, outcome assessment, data management, or statistical analysis of this study. * Concurrent participation in another training study that may substantially affect performance of the standardized Tuina skill.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
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