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Elsevier

Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence

  • 1st Edition - February 23, 2022
  • Latest edition
  • Editors: Anitha S. Pillai, Bindu Menon
  • Language: English

Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence focuses on how the neurosciences can benefit from advances in AI, especially in areas… Read more

Description

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.

Key features

  • 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

Readership

Academics (scientists, researchers, MSc. PhD. students) from the fields of Computer Science, Artificial Intelligence, Neural Engineering, and Information Technology. The audience also includes Neurologists who are interested in the diagnostic and treatment aspects

Table of contents

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)

Product details

  • Edition: 1
  • Latest edition
  • Published: February 24, 2022
  • Language: English

About the editors

AP

Anitha S. Pillai

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.
Affiliations and expertise
Professor, School of Computing Sciences, Hindustan University, Chennai, India

BM

Bindu Menon

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.
Affiliations and expertise
Head of Department and Senior Consultant Neurologist, Apollo Specialty Hospitals, Nellore, India

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