Revolutionizing Stroke Rehabilitation Bringing AI and Mixed Reality to Patient Recovery
Sanjit Seshia, Ph.D. Professor Electrical Engineering & Computer Sciences UC Berkeley
Bjoern Hartmann, Ph.D. Associate Professor Electrical Engineering & Computer Sciences UC Berkeley
By Sarah Colwell
A stroke can change a person’s life in an instant. The results can mean death or surviving with physical limitations that can require months or even years of rehabilitation, which can be time-consuming, expensive and emotionally draining for both patients and their families. It is a reality that affects more than 800,000 people each year in the United States alone and even more globally. With such a vast and pressing need for effective rehabilitation solutions, researchers with the UC Noyce Initiative (UCNI) are exploring innovative ways to make therapy more accessible and personalized. Using AI and Augmented Reality in Stroke Recovery With support from UCNI, a team of researchers from UC Berkeley, UC Irvine and UC San Francisco is tackling this challenge head-on. Their project, “ScenicMR: A Personalized, Privacy-Preserving Mixed Reality Platform for Home-Based Patient Rehabilitation,” aims to transform stroke recovery by combining augmented reality (AR), artificial intelligence (AI), and clinician-driven customization. This innovative approach will allow patients to receive engaging, interactive therapy sessions from the comfort of their homes, improving access to rehabilitation and enhancing recovery outcomes.
Yasser Shoukry, Ph.D. Associate Professor Electrical Engineering & Computer Science UC Irvine
Cathra Halabi, M.D. Assistant Professor Neurology UC San Francisco
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COMPUTATIONAL HEALTH
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