AI reads Kids' minds during rehab: could this be the future of personalized therapy?

NCT ID NCT07664033

First seen Jun 27, 2026 ยท Last updated Jun 27, 2026

Summary

This study tests an artificial intelligence system that monitors children's engagement, emotions, and motor performance in real time during rehabilitation sessions. Fifteen children aged 5 to 17 with neuromotor impairments will use standard rehab devices while the AI tracks their heart rate and movement, showing feedback to their physiotherapist. The goal is to see if this tool is practical and helpful for therapists, potentially leading to more personalized and effective therapy.

What this could mean

Our plain-language read of the trial. This is informational only โ€” not medical advice or a prediction.

Active substance
Artificial Intelligence Model for Rehabilitation Engagement Monitoring
What this could lead to
If successful, this AI tool could give therapists real-time insights into a child's engagement and emotional state, helping personalize rehabilitation sessions.
What could go wrong
This is a small, early feasibility study with only 15 participants. The AI model is purely observational and does not change the therapy itself.

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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

  • Scientific Institute IRCCS E.Medea

    Bosisio Parini, 23842, Italy

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