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About

Sepehr Mojdehdehbaher is pioneering the intersection of artificial intelligence and neurorehabilitation, with a focus on transforming how neurological disorders are diagnosed and treated. His work centers on integrating machine learning, big data analytics, and immersive technologies to create adaptive, patient-centered care for conditions like stroke, spinal cord injury, and Parkinson’s disease. In his highly cited 2024 paper (62 citations), he demonstrated how AI can enhance early diagnosis and long-term rehabilitation, setting a foundation for the field. He further advanced this vision in 2025 by exploring AI-driven telerehabilitation (24 citations), highlighting its potential to personalize therapy through real-time feedback and remote monitoring. Mojdehdehbaher has also contributed to the practical application of head-mounted display systems for upper limb kinematic analysis in post-stroke patients (20 citations), addressing the need for objective, instrumental assessment in clinical settings. His work bridges cutting-edge technology with tangible clinical outcomes, offering new hope for millions affected by neurological impairments. With a growing citation impact and a focus on accessible, AI-powered solutions, Mojdehdehbaher is shaping the future of neurorehabilitation and digital health.