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Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence / Pillai S Anitha, Menon Bindu

By: Pillai S Anitha
Contributor(s): Menon Bindu
Material type: TextTextPublisher: London : Elsevier, 2022Edition: 1 st edDescription: 362 p. : ill ; 24 cmISBN: 9780323900379Subject(s): Neurological | Rehabilitation | Neurological Disorder | Artificial Intelligence
Contents:
Intracranial hemorrhage detection and classification using deep learning -- Deep learning for noninvasive management of brain tumors -- Artificial intelligence in Parkinson’s disease—symptoms identification and monitoring -- Alzheimer’s disease detection using artificial intelligence -- Current and future applications of artificial intelligence in multiple sclerosis -- Artificial intelligence–assisted headache classification: a review -- Deep learning for reliable detection of epileptogenic lesions -- Artificial intelligence in neurosciences—are we really there? -- Artificial intelligence in the management of neurological disorders: its prevalence and prominence -- Graphical assessment of the internal structure of Parkinsons dataset—a case study -- Applications of artificial intelligence to neurological disorders: current technologies and open problems -- Developing a chatbot/intelligent system for neurological diagnosis and management -- Artificial intelligence in the diagnosis and management of acute ischemic stroke -- Towards intelligent extended reality in stroke rehabilitation: Application of machine learning and artificial intelligence in rehabilitation
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Item type Current location Call number Status Date due Barcode
General Book หนังสือทั่วไป General Book หนังสือทั่วไป Central Library Saint Louis College
SLC ชั้น 1 (ชั้นภาษาอังกฤษ)
WL141 .P641A 2022 (Browse shelf) Available EN51302

Intracranial hemorrhage detection and classification using deep learning -- Deep learning for noninvasive management of brain tumors -- Artificial intelligence in Parkinson’s disease—symptoms identification and monitoring -- Alzheimer’s disease detection using artificial intelligence -- Current and future applications of artificial intelligence in multiple sclerosis -- Artificial intelligence–assisted headache classification: a review -- Deep learning for reliable detection of epileptogenic lesions -- Artificial intelligence in neurosciences—are we really there? -- Artificial intelligence in the management of neurological disorders: its prevalence and prominence -- Graphical assessment of the internal structure of Parkinsons dataset—a case study -- Applications of artificial intelligence to neurological disorders: current technologies and open problems -- Developing a chatbot/intelligent system for neurological diagnosis and management -- Artificial intelligence in the diagnosis and management of acute ischemic stroke -- Towards intelligent extended reality in stroke rehabilitation: Application of machine learning and artificial intelligence in rehabilitation

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