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WSC 2023 | Mobile health technology for stroke care

Sean I. Savitz, MD, Institute for Stroke and Cerebrovascular Diseases at UTHealth Houston, Houston, TX, discusses the adaptation of mobile health technology for stroke care. AI technology alongside video capture elements can conduct remote assessments, by visually detecting impairments and providing automated patient feedback. Early data using an automated method for the evaluation of the shortened Fugl-Meyer Assessment demonstrates the capability of deep learning algorithms to recognize and auto-score upper extremity motor impairments, with average accuracies of around 80%. This showcases the intriguing potential of this technology to tackle the lack of accessibility to outpatient rehabilitation for patients after stroke. This interview took place at the World Stroke Congress (WSC) 2023 in Toronto, Canada.

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