Multiple sclerosis (MS) is a chronic progressive inflammatory autoimmune neurodegenerative disease of central nervous system (CNS) and it is considered to be the most prevalent neurological disability of young adults, often leads to severe physical or cognitive incapacitation. The severity of disability in MS patients is increased not only by motor disorders and other neurological deficit, but by the presence of cognitive impairment (CI), psycho-emotional disorders, like anxiety and/or depression, and sleep disorders (SD). Cognitive dysfunction is one of the most common and consequential symptoms of MS. Impairments in processing speed, working memory, learning, executive function, visuospatial processing, and language function affect an estimated 42% to70% of individuals with MS, and constitute a major cause of loss of employment and reduced quality of life. Despite its high prevalence and effect, there are no definitive treatments for cognitive dysfunction in MS, and the identification of appropriate strategies to improve cognition in MS is hindered by a poor understanding of modifiable factors that may influence its severity. AI is playing a significant role in harnessing neuroplasticity for cognitive enhancement through innovative applications such as cognitive training programs.These programs, driven by machine learning algorithms, can adapt to individual user performance, providing personalized training that optimizes cognitive functions such as memory, attention, and problem-solving .
