Enhancing Neurological Disorder Prediction and Rehabilitation with AI

Author: Anitha S. Pillai

Publication Date: February 23, 2022

Language: English

ISBN: 9780323900379, 9780323886260

Published by: Elsevier Science

Book Overview:

Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence delves into the transformative role of AI in the neurosciences. This comprehensive guide explores how AI can revolutionize the diagnosis and treatment of neurological disorders, such as Alzheimer’s disease, stroke, and epilepsy, through advanced medical image analysis, machine learning, and predictive modeling techniques.

Key Applications of AI in Neurological Disorders:

• Early detection of Alzheimer’s disease and other neurodegenerative disorders
• Improved diagnosis of acute neurologic events
• Stroke prediction and recovery analysis
• Personalized stroke rehabilitation therapy
• Detection of epileptogenic lesions on MRIs
• Understanding neural networks in neurological disorders

AI in Neurological Disorder Diagnosis and Treatment:

This book provides an in-depth look at how AI can be integrated into clinical practice to enhance patient outcomes. It covers the use of machine learning algorithms to analyze large datasets, predict treatment outcomes, and develop personalized treatment plans for various neurological conditions.

Case Studies and Illustrative Examples:

The book includes numerous case studies and examples that demonstrate the practical applications of AI in predicting and classifying neurological disorders. These real-world examples provide valuable insights into the potential of AI to transform the field of neurology and improve patient care.

Target Audience:

This book is an essential resource for neurologists, researchers, and healthcare professionals seeking to understand the latest advancements in AI and its applications in neurological disorders. It serves as a comprehensive guide for those looking to integrate AI into their clinical practice or research endeavors.