AI reads Kids' body signals to improve rehab sessions
NCT ID NCT06993389
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested whether an AI model could predict how children with movement problems engage with rehabilitation. Researchers collected heart activity, sweat response, and movement data from 31 children during therapy sessions. The goal is to help therapists adjust treatments in real-time for better, more personalized care.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could help therapists personalize rehabilitation sessions in real-time for children with movement difficulties.
- What could go wrong
- This is a small, completed observational study with only 31 participants. The AI model needs further testing in larger trials before it can be used in clinics.
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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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Scientific Institute IRCCS E.Medea
Bosisio Parini, LC, 23842, Italy
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