Edited by
Abhishek Kumar, Chandigarh University, India.
Priya Batta, Amity University Punjab - Mohali, India.
J.P. Ananth, Dayananda Sagar University - Bengaluru, India.
ISBN : 9781836690962
Publication Date : April 2026
Hardcover 392 pp
170 USD
Co-publisher
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.
1. Artificial Intelligence in Healthcare: Principles, Paradigms and Emerging Trends, Shilpa C. Patil and Salim Allauddin Chavan.
2. Machine Learning Models for Diagnostic Decision-Making in Neurology, Sunil Ramrao Yadav and Kalpana Malpe.
3. Deep Learning Approaches to Neuroimaging and Brain Mapping, G.V. Ramdas and G.M. Vaidya.
4. Predictive Analytics for Early Detection of Neurodegenerative Disorders, Debabrata Sahana and K. Gavhale.
5. AI-Enhanced Stroke Diagnosis, Prognosis and Rehabilitation Pathways, Rahul Patil and Fazil Sheikh.
6. Computational Biomarker Discovery for Neurological and Psychiatric Disorders, Chaitnya Godbole and Shamla Mantri.
7. Natural Language Processing for Clinical Narratives and Neurological Case Records, Shrikrishna N. Bamne and Swapna Kamble.
8. AI-Integrated Wearable Technologies for Continuous Neurological Monitoring, Swati Jagtap and Ashish N. Patil.
9. Epilepsy Forecasting and Seizure Prediction Through AI Algorithms, Ashwini R. Gargate and Komal M. Jujar.
10. Intelligent Robotic Systems for Neurorehabilitation and Assistive Care, Debabrata Sahana and Atul Namdev Pawar.
11. Personalized Medicine in Multiple Sclerosis Through AI-Driven Analytics, Chaitnya Godbole and Shrikant Rangrao Kadam.
12. Artificial Intelligence Applications in Sleep Medicine and Neurological Disorders, Swati Jagtap and Sharifnawaj Y. Inamdar.
13. Virtual and Augmented Reality Coupled with AI for Cognitive Rehabilitation, Omkar Kulkarni and Amruta B. Kale.
14. AI-Driven Drug Discovery Pipelines for Neurological and Mental Health Therapies, Sharad Kshirsagar and Ashish N. Patil.
15. Ethical, Legal and Societal Implications of AI in Neurology and Medicine, Dipali Jankar and Anil Sahu.
16. Federated Learning and Collaborative AI Models in Neuroscience Research, Dipali Jankar and Sanjay L. Badjate.
17. AI-Enabled Approaches for Pain Prediction, Assessment and Management, Mario Antony and Salim Allauddin Chavan.
18. Conversational AI and Virtual Assistants for Neurological Patient Support, Nikhilchandra Mahajan and Piyush Ashokrao Dalke.
19. Brain–Computer Interfaces Enhanced by Artificial Intelligence, Rahul S.S. and Mrudula Nimbarte.
20. The Future of AI in Neurology: Innovations, Challenges and Strategic Directions, Sunil Ramrao Yadav and Mrudula Nimbarte.
Abhishek Kumar, Senior IEEE Member and Professor at Chandigarh University, India, is a prolific researcher with 170+ publications and has international postdoctoral experience. His expertise spans AI, renewable energy and image processing.
Priya Batta is Associate Professor at Amity School of Engineering and Technology, Amity University Punjab, Mohali, India. She has over 12 years of academic experience and has edited several books. She actively contributes her research to reputed journals and conferences. Her expertise includes AI, blockchain and IoT.
J.P. Ananth is Professor of CSE and Director of IQAC at Dayananda Sagar University, Bengaluru, India. With 23 years of experience, he is also a senior IEEE member and a key contributor to academic quality assurance and examination systems.
