Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Alfonso, Thaddeus; Victoria, Sherine Georgina; Shirin, A.P. Title A name given to the resource ARTIFICIAL INTELLIGENCE IN NEUROCOGNITIVE REHABILITATION: AI Applications in Assessment, Monitoring, and Therapy Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived The Routledge International Handbook of Neurocognitive Rehabilitation: Practices, Innovations, and Future Directions;pp.117-146 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4324/9781003646662-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003646662-9</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028458403?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028458403?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Alfonso T., School of Psychological Sciences, Christ University, Karnataka, Bangalore, India; Victoria S.G., School of Psychological Sciences, Christ University, Karnataka, Bangalore, India; Shirin A.P., School of Psychological Sciences, Christ University, Karnataka, Bangalore, India Description An account of the resource 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. 2026 selection and editorial matter, K. Jayasankara Reddy; individual chapters, the contributors. All rights reserved. Publisher An entity responsible for making the resource available Taylor and Francis Relation A related resource ISBN: 978-104056676-3; 978-104108711-3; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online