Overview

Metaverse and AI in Healthcare: A Federated Learning Approach addresses the transformative integration of artificial intelligence and metaverse technologies in healthcare. The book fills a critical gap by exploring how federated learning enables secure, decentralized data sharing and personalized medicine in virtual health platforms, meeting urgent demands for privacy, interoperability, and innovation. The book is structured into four parts covering foundational AI and federated learning concepts, augmented reality and metaverse applications, legal and cybersecurity challenges, and emerging strategic trends. Contributors from academia and industry present chapters on predictive modeling, cybersecurity frameworks, AR fitness, legal perspectives, and AI-driven medical tourism which are supported by case studies and technical explanations. This reference equips graduate students, researchers, and professionals in academia and industry who specialize in computer science, federated learning, biomedical engineering, and digital healthcare with practical knowledge and forward-looking analysis.

Full Product Details

Author:   Jyotir Moy Chatterjee, PhD (Assistant Professor, Department of CSE, Graphic Era University, Dehradun, India) ,  Shubham Mahajan, PhD (Amity School of Engineering and Technology, Amity University Haryana., India)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.450kg
ISBN:  

9780443449581

ISBN 10:   0443449589
Pages:   400
Publication Date:   01 May 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Section 1: Foundational Concepts & Emerging Trends 1. Introduction to the Convergence of Metaverse, AI, and Federated Learning in Healthcare 2. ChatGPT in Medicine: Partnering with Doctors for Better Healthcare 3. Artificial Intelligence-based Medical Tourism in 2024 and Beyond: Emerging Trends, Challenges, and Strategic Imperatives 4. ARFIT: Redefining Fitness through Immersive Augmented Reality Experiences 5. Augmented Reality for Pediatric Rehabilitation: Legal Considerations for Disabled Children in India 6. Metasports in the Metaverse Era: A New Frontier for Athlete Performance and Health 7. Predictive Modelling for Disease Prevention 8. Bias in the Machine: Ethical Challenges and Solutions in AI Development Section 2: Applied AI & ML in Smart Healthcare 9. Predictive Modeling of Alzheimer's Disease using MRI Images & Machine Learning Algorithms 10. Heart Disease Prediction using RBA: A Weighted Rivalry-Based Ensemble Learning Approach 11. Improving Cardiac MRI Analysis through Real-time Object Detection with YOLOv8 12. A Critical Evaluation of Blockchain Integration in Smart Healthcare System 13. Federated Learning and Machine Learning for the Detection of Heart Diseases 14. Revolutionizing Patient Care with Digital Twins: A Smart Healthcare Perspective Section 3: Cutting-edge Research & Strategic Systems 15. A Resilient Federated Learning-Based Cybersecurity Framework for Healthcare Systems 16.Exploring the Potential of Deep Learning for Transcription Factor Binding in Deoxyribose Nucleic Acid 17. Navigating the Pulse in Industry 6.0: Assessing the Resilience of India's Healthcare Grid

Reviews

Author Information

Jyotir Moy Chatterjee is currently an Assistant Professor in Department of Computer Science and Engineering at Graphic Era (Deemed to be University), in Dehradun, India. He also serves as a Visiting Faculty member in Information Technology at Lord Buddha Education Foundation, which is affiliated with the Asia Pacific University of Technology & Innovation in Kathmandu, Nepal. His research interests focus on advancements in Machine Learning and Deep Learning. Dr. Shubham Mahajan is a respected academic and researcher, and a member of well-known professional organizations like IEEE, ACM, and IAENG. He completed his B.Tech. from Baba Ghulam Shah Badshah University, his M.Tech. from Chandigarh University, and his Ph.D. from Shri Mata Vaishno Devi University (SMVDU), Katra. He is currently working as an Assistant Professor at Amity University, Haryana. Dr. Mahajan has made strong contributions in the fields of artificial intelligence and image processing. He holds nineteen Indian patents, along with one Australian and one German patent. He has published more than 103 research papers in national and international journals and conferences, including 55 in SCIE journals and 48 indexed by Scopus. He has also edited 10 Scopus-indexed books. His research areas include image processing, video compression, image segmentation, fuzzy entropy, nature-inspired algorithms, optimization, data mining, machine learning, robotics, and optical communication. He won the Best Research Paper Award at ICRIC 2019 (Springer LNEE series). Throughout his career, Dr. Mahajan has received many awards, such as the Best Student Award (2019), IEEE Region-10 Travel Grant (2019), 2nd runner-up in IEEE RAS Hackathon (2019, Bangladesh), IEEE SERCF (2020), Emerging Scientist Award (2021), and the IEEE SPS Professional Development Grant (2021). He also received the Excellence in Research Award in 2023. Beyond research, Dr. Mahajan has contributed to the academic community in many ways. He has worked as a Campus Ambassador for IEEE at top institutions like IIT Bombay, IIT Kanpur, IIT Varanasi, and IIT Delhi, as well as for several multinational companies. He is active in promoting international research collaborations and serves on Technical Program Committees and Editorial Boards of various international conferences and journals.

Tab Content 6

Author Website:  

Countries Available

All regions