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AI boosts stroke patient recovery
Researchers from the Massachusetts Institute of Technology have developed a new system that combines artificial intelligence technologies with human care practices to support stroke patient rehabilitation. The system aims to teach robots how to provide adaptive and personalized support by training them to engage in dynamic physical interactions with patients, rather than replacing therapists. It relies on AI models that learn from physical therapists to offer appropriate assistance tailored to each patient's abilities, especially for those with limb weakness or post-surgical recovery. Future applications may extend to industrial fields and collaborative work environments. Preliminary trials have demonstrated its effectiveness, and the researchers plan to develop customized models for each therapist and evaluate them through long-term clinical studies.
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