Artificial Intelligence and Digital Technologies in Neurorehabilitation: Current Applications, Challenges and Future Perspectives
DOI:
https://doi.org/10.48165/ajm.2026.9.02.01Keywords:
Artificial Intelligence, Neurorehabilitation, Virtual Reality, Tele-rehabilitationAbstract
Artificial intelligence (AI) and digital technologies are transforming neurorehabilitation by enabling personalized, data driven, and accessible patient care. Technologies such as machine learning, robotic-assisted rehabilitation, virtual reality, brain–computer interfaces, wearable sensors, and tele-rehabilitation enhance assessment, treatment planning, and functional recovery in neurological conditions including stroke, Parkinson's disease, spinal cord injury, and traumatic brain injury. These innovations improve patient engagement and rehabilitation outcomes while supporting remote monitoring and continuous care. However, challenges such as data privacy, ethical concerns, high costs, limited clinical validation, and unequal access hinder widespread implementation. Future advancements in explainable AI, predictive analytics, and integrated digital rehabilitation platforms are expected to further improve precision, accessibility, and effectiveness. This review summarizes the current applications, key challenges, and future perspectives of AI and digital technologies in neurorehabilitation.
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