
Generative AI in Neurodegenerative Disorders
Innovations, Views, and Obstacles
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Generative AI in Neurodegenerative Disorders
Innovations, Views, and Obstacles
About this book
This book delves into the transformative power of AI in the realm of neurodegenerative diseases,
covering topics such as ALS, Huntington's, Parkinson's, and Alzheimer's. Generative AI
provides new opportunities for early diagnosis, precise therapy, and individualized rehabilitation,
which are crucial as these conditions remain major obstacles for healthcare providers
and researchers.
Researchers, physicians, AI developers, and healthcare professionals will find this book
an invaluable resource for understanding how AI is influencing the development of treatments
for neurodegenerative diseases. It describes important obstacles and future directions while
providing insights into the newest breakthroughs, thus bridging the gap between technology
and practical clinical applications. Anyone involved in neurodegenerative healthcare, from
scientists conducting AI-driven medical research to physicians seeking to incorporate AI into
patient care or AI professionals investigating new healthcare applications, will find the information
and insights they need in this comprehensive book.
Predictive analytics, biomarker identification, and drug discovery are being transformed
by AI-driven models, such as deep neural networks, generative adversarial networks (GANs),
and variational autoencoders (VAEs). This book offers a comprehensive examination of these
developments. Robots, wearable sensors, and cognitive therapy platforms are some of the
AI-enhanced rehabilitation tools covered, as are AI-integrated cutting-edge technologies like
fMRI and MRI, gene-editing methods like CRISPR, and more.
In addition to discussing recent technical developments, this book takes a close look at
the data privacy, ethics, and regulatory issues that arise when using AI to study neurodegenerative
disorders. Issues like algorithmic bias, model explainability, and fair AI-driven healthcare
are thoroughly investigated in light of the growing usage of AI models in clinical decision-making,
mental health applications, and cognitive rehabilitation.
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Information
Table of contents
- Cover Page
- Half Title Page
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- List of Figures
- List of Tables
- List of Contributors
- List of Abbreviations
- 1 Generative AI: A New Frontier in Understanding and Treating Neurodegenerative Diseases
- 2 Generative AI-enhanced Diagnostic Systems: Revolutionizing Early Disease Detection through Advanced Predictive Analytics
- 3 Obstacles and Opportunities: Generative AI in the Context of Neurodegenerative Disorders
- 4 Generative AI in the Evolution of Gene Therapy: A Paradigm Shift in Genetic Engineering
- 5 A Generative Predictive Model for Medical Data via PCA and Iterative K-means Fusion
- 6 Exploring the Promises and Perils of Implementing Generative AI into Mental Healthcare and Emotional Well-being Support of General Public: A Comprehensive Overview
- 7 Navigating Autism Spectrum Disorder: A Fusion of Deep Learning and Explainable AI for Enhanced Detection and Classification
- 8 Generative AI-augmented Mental Health Support: The Impact of Generative Models on Therapeutic Practice
- 9 AI and Neurodegenerative Disorders: From Early Diagnosis to Advanced Care
- 10 Prediction of Alzheimer's and Parkinson's Diseases: AI Perspectives
- 11 Advanced Fingerprint Authentication System and Neurodegenerative Disorder Multi-modal Pattern Recognition Techniques Using Deep Learning
- 12 A Convolutional Neural Network Based Biomarkers for Alzheimer’s Diagnosis and Prognosis
- 13 Generative AI Novel Drug Discovery Avenues
- 14 AI-driven Innovations: Revolutionizing the Management of Neurodegenerative Disorders
- 15 Generative AI for Enhancing Cognitive Rehabilitation in Patients with Neurodegenerative Disorders
- Index
- About the Editors