Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence

Erscheinungsjahr 2022
ISBN: 978-0-323-90037-9
Verlag: William Andrew Publishing

Buch, Englisch, 362 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 750 g

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.

Autoren/Hrsg.

Pillai, Anitha S.

Menon, Bindu

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe

Inhaltsverzeichnis

1. Intracranial Hemorrhage Detection and Classification
2. Deep Learning for Non-Invasive Management of Brain Tumors
3. AI in Parkinson's disease - symptoms identification and monitoring
4. Alzheimer's Disease Detection using Artificial Intelligence
5. Intelligent Computer Systems for Multiple Sclerosis Diagnosis
6. Current and future applications of artificial intelligence in Multiple Sclerosis
7. Artificial Intelligence Assisted Headache Classification Methods
8. Deep Learning for Reliable Detection of Epileptogenic Lesions
9. AI in Neurosciences - Are we really there?
10. AI in the management of neurological disorders: Its prevalence and prominence
11. Graphical assessment of internal structure of some Parkinson disease data - A case study
12. Applications of Artificial Intelligence to Neurological Disorders: A Review of Current Technologies and Open Problems
13. Developing a Chatbot/Intelligent system for Neurological diagnosis and management
14. Artificial Intelligence (AI) in the diagnosis and management of Acute Ischemic Stroke (AIS)

Über Autor(innen)

Menon, Bindu
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.

Pillai, Anitha S.
Dr. Anitha S. Pillai is a Professor in the School of Computing Sciences, Hindustan University, Chennai, India. She has 26 years of teaching and research experience. Her main areas of research are Artificial intelligence, Machine Learning, Natural Language Processing and Healthcare Analytics. She has authored/co-authored more than 90 papers in international journals and book chapters. She is the founder of AtINeu http://atineu.org/ Research Labs, which focusses on the use of Machine Learning/Deep Learning, Virtual Reality, and Augmented Reality in Healthcare. Dr. Pillai is also the co-editor of the book Virtual and Augmented Reality in Education, Art and Museums published by IGI Global,USA and Extended Reality Usage during COVID 19 Pandemic published by Springer Nature, Switzerland.