Mayank Kundlas
Papers
1
Total Citations
28
H-Index
1
About
Dr. Mayank Kundlas is a leading researcher at the intersection of artificial intelligence and neurorehabilitation, with a primary focus on stroke recovery. His work bridges the critical gap between acute clinical care and long-term functional restoration, demonstrating how machine learning algorithms can personalize rehabilitation protocols. His most-cited paper, "Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery" (2025), has already garnered 28 citations, reflecting its timely and transformative impact on the field. Dr. Kundlas’s contributions include developing predictive models that optimize therapy intensity based on real-time patient data, as well as designing AI-driven wearable systems for home-based motor recovery. His research not only advances clinical practice but also empowers patients with data-driven, adaptive care strategies. Recognized for his innovative approach, Dr. Kundlas is shaping the future of precision rehabilitation, making him a pivotal figure for students and researchers interested in the convergence of AI and medicine.
Research Focus
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Top Papers
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