AI predicts best stroke rehab for each patient

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.