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 Book Chapter 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/. Title A name given to the resource Applications of artificial intelligence to neurological disorders: Current technologies and open problems Subject The topic of the resource Alzheimers disease; Artificial intelligence; Autism spectrum disorder; Dementia; Epilepsy; Machine learning; Mild cognitive impairment; Multiple sclerosis; Neurological disorder; Parkinsons disease; Schizophrenia; Stroke Description An account of the resource Neurological disorders are caused by structural, biochemical, and electrical abnormalities involving the central and peripheral nervous system. These disorders may be congenital, developmental, or acute onset in nature. Some of the conditions respond to surgical interventions while most require pharmacological intervention and management, and are also likely to be progressive in nature. Owing to a high global burden of the most common neurological disorders, such as dementia, stroke, epilepsy, Parkinsons disease, multiple sclerosis, migraine, and tension-type headache, there exist multiple challenges in early diagnosis, management, and prevention domains, which are further amplified in regions with inadequate medical services. In such situations, technology ought to play an inevitable role. In this chapter, we review artificial intelligence (AI) and machine learning (ML) technologies for mitigating the challenges posed by neurological disorders. To that end, we follow three steps. First, we present the taxonomy of neurological disorders, derived from well-established findings in the medical literature. Second, we identify challenges posed by each of the common disorders in the taxonomy that can be defined as computational problems. Finally, we review AI/ML algorithms that have either stood the test of time or shown the promise to solve each of these problems. We also discuss open problems that are yet to have an effective solution for the challenges posed by neurological disorders. This chapter covers a wide range of disorders and AI/ML techniques with the goal to expose researchers and practitioners in neurological disorders and AI/ML to each others field, leading to fruitful collaborations and effective solutions. 2022 Elsevier Inc. All rights reserved. Creator An entity primarily responsible for making the resource Chandra J.; Rangaswamy M.; Banerjee B.; Prajapati A.; Akhtar Z.; Sakauye K.; Joseph A. Source A related resource from which the described resource is derived Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence, pp. 243-272. Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/B978-0-323-90037-9.00005-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-323-90037-9.00005-9</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130656418&amp;doi=10.1016%2FB978-0-323-90037-9.00005-9&amp;partnerID=40&amp;md5=dd89014aea4f956b271c943caa9c5519" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130656418&amp;doi=10.1016%2fB978-0-323-90037-9.00005-9&amp;partnerID=40&amp;md5=dd89014aea4f956b271c943caa9c5519</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-032390037-9; 978-032388626-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chandra J., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Rangaswamy M., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Banerjee B., Institute for Intelligent Systems, Department of Electrical &amp; Computer Engineering, University of Memphis, Memphis, TN, United States, Department of Electrical &amp; Computer Engineering, University of Memphis, Memphis, TN, United States; Prajapati A., Department of Electrical &amp; Computer Engineering, University of Memphis, Memphis, TN, United States; Akhtar Z., Department of Network and Computer Security, State University, New York Polytechnic Institute, Utica, NY, United States; Sakauye K., Department of Psychiatry, University of Tennessee, Health Science Center, Memphis, TN, United States; Joseph A., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India