Artificial Intelligence in Neurocognitive Rehabilitation

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Authors: Thaddeus Alfonso, Sherine Georgina Victoria, A. P. Shirin
Cited by: 0

Abstract

The global rise in neurocognitive disorders, due to aging populations, traumatic brain injuries, and neurodegenerative diseases, demands innovative rehabilitation strategies. Artificial intelligence (AI) is transforming neurocognitive rehabilitation by enabling early detection, real-time monitoring, and personalized therapy through technologies such as machine learning, natural language processing, neuroimaging, and wearable sensors. This chapter explores how AI-powered tools enhance neuropsychological assessments, support continuous monitoring through multimodal data streams, and enable adaptive, patient-centered therapeutic interventions. Additionally, it evaluates the ethical challenges and implementation barriers associated with AI integration in clinical practice. By examining the interplay between AI and neurorehabilitation, the chapter underscores the transformative potential of interdisciplinary, data-driven approaches in cognitive healthcare.

Fields of Study & Subjects

Traumatic Brain Injury Research Artificial Intelligence in Healthcare and Education Stroke Rehabilitation and Recovery

Publication details

Journal / source
Routledge eBooks
Pages
119–146
Publication date
9 January 2026
Language
EN
Document type
Book chapter