Exploring rehabilitation therapists' knowledge and perspectives on the use of artificial intelligence and machine learning for persons post-stroke.

A study published in the journal Work examined rehabilitation therapists' understanding of and attitudes toward artificial intelligence and machine learning tools used in stroke rehabilitation. Researchers surveyed and interviewed therapists to identify gaps in knowledge and explore how clinicians perceive AI-driven approaches for post-stroke care. Findings from this type of inquiry can help guide training initiatives and inform how AI technologies are introduced into clinical rehabilitation settings.

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