Metaverse and AI in Healthcare
A Federated Learning Approach
- 1st Edition - May 1, 2026
- Latest edition
- Editors: Jyotir Moy Chatterjee, Shubham Mahajan
- Language: English
Metaverse and AI in Healthcare: A Federated Learning Approach addresses the transformative integration of artificial intelligence and metaverse technologies in healthcare. The bo… Read more
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.
- Explores cutting-edge AI and federated learning applications in healthcare
- Provides practical guidance on privacy and cybersecurity in digital health
- Integrates emerging metaverse and augmented reality technologies
- Presents multidisciplinary perspectives with diverse expert contributors
- Includes real-world case studies and future trends in healthcare innovation
1. Introduction to the Convergence of Metaverse, AI, and Federated Learning in Healthcare
2. Exploring the Potential of Deep Learning for Transcription Factor Binding in Deoxyribose Nucleic Acid
3. Predictive Modeling of Alzheimer's Disease using MRI Images & Machine Learning Algorithms
4. Heart Disease Prediction using RBA: A Weighted Rivalry-Based Ensemble Learning Approach
5. Federated Learning and Machine Learning for the Detection of Heart Diseases
6. Predictive Modelling for Disease Prevention
7. A Resilient Federated Learning-Based Cybersecurity Framework for Healthcare Systems
Part 2: Metaverse and Augmented Reality in Healthcare
8. ARFIT: Redefining Fitness through Immersive Augmented Reality Experiences
9. Metasports in the Metaverse Era: A New Frontier for Athlete Performance and Health
10. Augmented Reality for Pediatric Rehabilitation: Legal Considerations for Disabled Children in India
11. Metaverse-Enabled Digital Twins: Building Intelligent and Ethical Healthcare Systems
Part 3: Legal, Ethical, and Cybersecurity Challenges
12. A Critical Evaluation of Blockchain Integration in Smart Healthcare System
13. Legal Perspectives on Cybersecurity for Digital Health Platforms Serving Disabled Children in India
14. Mitigating Bias in AI-Driven Burnout Risk Predictions for Optimal Staff Scheduling in Healthcare
Part 4: Strategic and Emerging Trends
15. Improving Cardiac MRI Analysis through Real-time Object Detection with YOLOv8
16. Digital Twin-Driven Cancer Survival Prediction: Machine Learning and EHR Integration for Smart Hospitals
17. ChatGPT in Medicine: Partnering with Doctors for Better Healthcare
18. Artificial Intelligence Based Medical Tourism in 2024 and Beyond: Emerging Trends, Challenges, and Strategic Imperatives
- Edition: 1
- Latest edition
- Published: May 1, 2026
- Language: English
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Jyotir Moy Chatterjee
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.
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Shubham Mahajan
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.