Dear Colleagues,

Neurorehabilitation is a specialized healthcare field aiding individuals with neurological injuries, employing various therapies to restore motor skills and cognitive function, enhancing their quality of life. In recent years, the use of innovative technologies, such as robotics, has proven effective in the treatment of different neurological disorders, including stroke, traumatic brain and spinal cord injury, multiple sclerosis and Parkinson’s disease. Indeed, better outcomes in terms of gait, balance and upper limb function have been described after robotic-aided training, as compared to conventional rehabilitation.

Artificial intelligence (AI) encompasses computer systems that mimic human cognitive functions, performing tasks like learning, reasoning, problem solving and decision making. The integration of AI in neurorehabilitation holds great promise, but it is crucial to approach this technology with a clear understanding of its capabilities and limitations. AI can enhance assessment, diagnosis and personalized treatment plans, but it should complement, rather than replace, human healthcare providers.

The aim of this Special Issue is to provide researchers and clinicians with indications on the current use of robotic devices as both assessment and rehabilitation tools. Moreover, we aim at demonstrating the growing role of AI in the rehabilitation field.

Papers dealing with robotic-assisted motion analysis and rehabilitation in different neurological disorders are welcomed. Combined advanced approaches and use of AI in predicting outcomes (such as deep and machine learning) or to improve assistive robotics are particularly welcomed.   

Dr. Rocco Salvatore Calabrò
Dr. David Perpetuini
Dr. Irene Aprile
Guest Editors

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• robotic-assisted rehabilitation
• machine learning
• neurological disorders
• artificial intelligence