Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence
Language: English
Published by Elsevier Inc Feb 2022, 2022
- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Neuware - Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence focuses on how the neurosciences can benefit from advances in AI, especially in areas such as medical image analysis for the improved diagnosis of Alzheimer's disease, early detection of acute neurologic events, prediction of stroke, medical image segmentation for quantitative evaluation of neuroanatomy and vasculature, diagnosis of Alzheimer's Disease, autism spectrum disorder, and other key neurological disorders. Chapters also focus on how AI can help in predicting stroke recovery, and the use of Machine Learning and AI in personalizing stroke rehabilitation therapy. Other sections delve into Epilepsy and the use of Machine Learning techniques to detect epileptogenic lesions on MRIs and how to understand neural networks.
Seller Inventory # 9780323900379
- Title
- Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence
- Author
- Bindu Menon
- Publisher
- Elsevier Inc Feb 2022
- Publication year
- 2022
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0323900372
- ISBN 13
- 9780323900379
- Item weight
- 613 grams
- Dimensions
- 235x191x19 mm
Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence focuses on how the neurosciences can benefit from advances in AI, especially in areas such as medical image analysis for the improved diagnosis of Alzheimer’s disease, early detection of acute neurologic events, prediction of stroke, medical image segmentation for quantitative evaluation of neuroanatomy and vasculature, diagnosis of Alzheimer’s Disease, autism spectrum disorder, and other key neurological disorders. Chapters also focus on how AI can help in predicting stroke recovery, and the use of Machine Learning and AI in personalizing stroke rehabilitation therapy.
Other sections delve into Epilepsy and the use of Machine Learning techniques to detect epileptogenic lesions on MRIs and how to understand neural networks.
- Provides readers with an understanding on the key applications of artificial intelligence and machine learning in the diagnosis and treatment of the most important neurological disorders
- Integrates recent advancements of artificial intelligence and machine learning to the evaluation of large amounts of clinical data for the early detection of disorders such as Alzheimer’s Disease, autism spectrum disorder, Multiple Sclerosis, headache disorder, Epilepsy, and stroke
- Provides readers with illustrative examples of how artificial intelligence can be applied to outcome prediction, neurorehabilitation and clinical exams, including a wide range of case studies in predicting and classifying neurological disorders
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Bindu Menon (M.D. (Med.), D.M. (Neuro), DNB. (Neuro), PGDCN (Neuro),(London), FRCP (Edinburgh), MNAMS, FICP, FIAN) is the Head of Department and Senior Consultant Neurologist, Apollo Specialty Hospitals, Nellore, India. She has 18 years of teaching experience of 18 years is is on the Editorial Board of the International Journal of Epilepsy. Dr. Menon is a research committee member of the World Stroke Organization, Editor-in-Chief of Epilepsy India. She has been the recipient of 18 international and national awards for epilepsy and stroke care, which includes the prestigious International League Against Epilepsy (ILAE) Leadership Program Award in Barcelona, 2017, the World Stroke Day Award under the Individual Achievement category from the World Stroke Organization, in Montreal, 2018, among others. Dr. Menon is a Fellow of the Geriatric Society of India and has received the honorary title of Distinguished Clinical Tutor. In August 2013, she founded the Dr. Bindu Menon Foundation, and has been instrumental in starting several novel treatment approaches for epilepsy patients, including Neurology on Wheels and an app titled Epilepsy Help.
"About the title" may belong to another edition of this title.
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