Pillai S Anitha
Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence / Pillai S Anitha, Menon Bindu - 1 st ed. - London : Elsevier, 2022. - 362 p. : ill ; 24 cm.
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
9780323900379
Neurological
Rehabilitation
Neurological Disorder
Artificial Intelligence
WL141 / .P641A 2022
Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence / Pillai S Anitha, Menon Bindu - 1 st ed. - London : Elsevier, 2022. - 362 p. : ill ; 24 cm.
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
9780323900379
Neurological
Rehabilitation
Neurological Disorder
Artificial Intelligence
WL141 / .P641A 2022
