Prasanna Shama Khandige

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About

Prasanna Shama Khandige is a pioneering researcher at the intersection of artificial intelligence and neurorehabilitation, with a primary focus on stroke recovery. Her most-cited work, "Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery" (2025, 28 citations), represents a landmark contribution that systematically maps how AI technologies can transform every phase of stroke care—from immediate post-stroke interventions to sustained, long-term rehabilitation strategies. This paper has quickly become a foundational reference for clinicians and engineers alike, synthesizing cutting-edge machine learning applications such as predictive analytics for recovery trajectories, adaptive robotic therapy, and personalized telerehabilitation systems. Khandige’s research uniquely bridges the gap between acute medical protocols and chronic recovery management, offering a comprehensive framework that addresses the critical need for scalable, data-driven rehabilitation solutions. Her work is particularly notable for its emphasis on translating complex AI models into practical, patient-centered tools that can be deployed across diverse clinical settings. With her growing citation impact and forward-looking approach, Khandige is establishing herself as a key voice in shaping the future of AI-assisted neurorehabilitation, making her research essential reading for students and professionals seeking to understand how technology can revolutionize stroke recovery outcomes.