AI predicts best stroke rehab for each patient

NCT ID NCT06828679

Recruiting now Knowledge-focused Sponsor: Chinese University of Hong Kong Source: ClinicalTrials.gov ↗

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

Summary

This study aims to create an AI system that predicts which type of rehabilitation—like standard therapy, electrical stimulation, robotic training, or acupuncture—will help each stroke survivor recover the most movement in their arm. Researchers will collect data from 400 stroke survivors aged 65-80 who had a stroke 1-6 months ago and have moderate to severe arm weakness. The goal is to personalize rehab plans to improve recovery and reduce the huge social and economic burden of stroke care.

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Conditions

The condition(s) this trial relates to.

ischemic stroke stroke disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ACUTE ISCHEMIC STROKE ACUTE STROKE ACUTE STROKE INTERVENTION

Contacts and locations

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Study contacts

Contact

Phone: •••-•••-•••• Email: •••••@•••••

Locations

The Chinese University of Hong Kong
RECRUITING

Hong Kong, Sha Tin, 852, Hong Kong

Contact

Contact Phone: •••-•••-•••• Email: •••••@•••••