AI predicts best rehab for each stroke patient
NCT ID NCT06828679
First seen Jan 11, 2026 · Last updated May 24, 2026 · Updated 27 times
Summary
This study aims to build an AI system that predicts which type of rehabilitation will work best for each stroke survivor. Researchers will collect data from 400 participants, including brain scans, muscle activity, and genetic information, before they receive standard rehab or treatments like electrical stimulation or robotic training. The goal is to create personalized rehab plans that maximize recovery and help people regain independence.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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The Chinese University of Hong Kong
RECRUITINGHong Kong, Sha Tin, 852, Hong Kong
Contact
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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