Computer-aided cognitive training in patients with neurocognitive vascular impairment: effects on cognition, depression and behavior

Vaia, Sebastiano; Iavarone, Alessandro; Moschiano, F.; Strube, Carlo; Gamboz, Nadia; Pietro, Giuseppe De; Gentile, S; Garofalo, Elisabetta; Sannino, Maria; Mazzi, Michele Carpinelli

doi:10.36150/2499-6564-n357

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…The whole study is observed in males only but the findings suggest the difference in patterns of learning disorder and attentional disorder for model-based RL and model-free RL. The efficacy of a computer-aided cognitive training program is investigated in 85 on depressive symptoms, behavioral symptoms, and cognitive measures in patients having major vascular neurocognitive disorder. The subjects were divided into a control and a treatment group, and all of them received a neuropsychiatric inventory, the Aasberg depression rating scale, the Montgomery, and the mini-mental state examination.…”

Section: Rehabilitation For Neurological Disordersmentioning

confidence: 99%

Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends

Khalid,

Naeem,

Stasolla

et al. 2024

IJGM

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Rehabilitation is an important and necessary part of local and global healthcare services along with treatment and palliative care, prevention of disease, and promotion of good health. The rehabilitation process helps older and young adults even children to become as independent as possible in activities of daily life and enables participation in useful living activities, recreation, work, and education. The technology of Artificial Intelligence (AI) has evolved significantly in recent years. Many activities related to rehabilitation have been getting benefits from using AI techniques. The objective of this review study is to explore the advantages of AI for rehabilitation and how AI is impacting the rehabilitation process. This study aims at the most critical aspects of the rehabilitation process that could potentially take advantage of AI techniques including personalized rehabilitation apps, rehabilitation through assistance, rehabilitation for neurological disorders, rehabilitation for developmental disorders, virtual reality rehabilitation, rehabilitation of neurodegenerative diseases and Telerehabilitation of Cardiovascular. We presented a survey on the newest empirical studies available in the literature including the AI-based technology helpful in the Rehabilitation process. The novelty feature included but was not limited to an overview of the technological solutions useful in rehabilitation. Seven different categories were identified. Illustrative examples of practical applications were detailed. Implications of the findings for both research and practice were critically discussed. Most of the AI applications in these rehabilitation types are in their infancy and continue to grow while exploring new opportunities. Therefore, we investigate the role of AI technology in rehabilitation processes. In addition, we do statistical analysis of the selected studies to highlight the significance of this review work. In the end, we also present a discussion on some challenges, and future research directions.

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Section: Rehabilitation For Neurological Disordersmentioning

confidence: 99%

Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends

Khalid,

Naeem,

Stasolla

et al. 2024

IJGM

View full text Add to dashboard Cite

show abstract

Computer-aided cognitive training in patients with neurocognitive vascular impairment: effects on cognition, depression and behavior

Abstract: How to cite this article: Vaia S, Iavarone A, Moschiano F, et al. Computer-aided cognitive training in patients with neurocognitive vascular impairment: effects on cognition, depression and behavior.

Cited by 1 publication

References 16 publications

Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends

Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends

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