Artificial Intelligence in Neurocognitive Rehabilitation
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