AI-driven Healthcare Innovations presents a timely and authoritative exploration of how artificial intelligence (AI) is transforming modern clinical practices and medical research. Positioned at the intersection of healthcare, data science and computational intelligence, this book provides a comprehensive context for understanding the growing role of AI in diagnosis, treatment and decision-making within neurology and broader medical domains.
The book systematically examines core AI techniques, including machine learning (ML), deep learning (DL) and intelligent optimization, and demonstrates their practical deployment across neurological disorders, medical imaging, predictive analytics and personalized care. Emphasis is placed on real-world clinical workflows, data acquisition and preprocessing, model interpretability and performance evaluation. In addition, we also address ethical considerations, regulatory challenges and data security issues critical to healthcare adoption. By combining theoretical foundations with applied case studies and future research directions, this book serves as a valuable resource for researchers, clinicians, graduate students and industry professionals seeking to leverage AI-driven innovations to improve patient outcomes and advance next-generation healthcare systems.
eBook - ePub
AI-driven Healthcare Innovations
Applications in Neurology and Medicine
- 369 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
AI-driven Healthcare Innovations
Applications in Neurology and Medicine
About this book
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Table of contents
- Cover
- Table of Contents
- Title Page
- Copyright Page
- Preface
- 1 Artificial Intelligence in Healthcare: Principles, Paradigms and Emerging Trends
- 2 Machine Learning Models for Diagnostic Decision-Making in Neurology
- 3 Deep Learning Approaches to Neuroimaging and Brain Mapping
- 4 Predictive Analytics for Early Detection of Neurodegenerative Disorders
- 5 AI-Enhanced Stroke Diagnosis, Prognosis and Rehabilitation Pathways
- 6 Computational Biomarker Discovery for Neurological and Psychiatric Disorders
- 7 Natural Language Processing for Clinical Narratives and Neurological Case Records
- 8 AI-Integrated Wearable Technologies for Continuous Neurological Monitoring
- 9 Epilepsy Forecasting and Seizure Prediction Through AI Algorithms
- 10 Intelligent Robotic Systems for Neurorehabilitation and Assistive Care
- 11 Personalized Medicine in Multiple Sclerosis Through AI-Driven Analytics
- 12 Artificial Intelligence Applications in Sleep Medicine and Neurological Disorders
- 13 Virtual and Augmented Reality Coupled with AI for Cognitive Rehabilitation
- 14 AI-Driven Drug Discovery Pipelines for Neurological and Mental Health Therapies
- 15 Ethical, Legal and Societal Implications of AI in Neurology and Medicine
- 16 Federated Learning and Collaborative AI Models in Neuroscience Research
- 17 AI-enabled Approaches for Pain Prediction, Assessment and Management
- 18 Conversational AI and Virtual Assistants for Neurological Patient Support
- 19 Brain–Computer Interfaces Enhanced by Artificial Intelligence
- 20 The Future of AI in Neurology: Innovations, Challenges and Strategic Directions
- List of Authors
- Index
- Other titles from iSTE in Computer Engineering
- End User License Agreement
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Yes, you can access AI-driven Healthcare Innovations by Abhishek Kumar,Priya Batta,J. P. Ananth in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over 1.5 million books available in our catalogue for you to explore.