Table of Contents
1. Introduction to Metaverse Healthcare2. Understanding Federated Learning
3. Adapting to Decentralization: The Evolution of Computing Paradigms and Machine Learning in Federated Learning decentralization, offering insights into its implications and advancements.
4. Virtual Clinics and Hospitals
5. Telemedicine in the Metaverse
6. Augmented Reality Wearables for Health Monitoring
7. Federated Learning Architecture in the Metaverse
8. Personalized Treatment Recommendations
9. Predictive Modeling for Disease Prevention
10. Virtual Health Coaches
11. Challenges and Ethical Considerations
12. Optimizing Healthcare in the Metaverse: A Cost-Benefit Analysis of Federated Learning
13. Securing the Digital Frontier: Protocols and Strategies for Data Governance in the Metaverse, IoT, HER, and Blockchain for Federated Learning
14. The Evolution of Healthcare in the Metaverse
15. Future Trends and Directions
Authors
Jyotir Moy Chatterjee Assistant Professor, Department of CSE, Graphic Era University, Nepal.He is currently working as an Assistant Professor in CSE at Graphic Era (Deemed to be University), Dehradun, India, and also as a Visiting Faculty in IT at Lord Buddha Education Foundation, affiliated with the Asia Pacific University of Technology & Innovation, Malaysia, in Kathmandu, Nepal. Previously, he served as an Assistant Professor and Program Leader for the B.Sc. IT program at Lord Buddha Education Foundation, and as an Assistant Professor in the CSE department at GD-Rungta College of Engineering & Technology, affiliated with Chhattisgarh Swami Vivekananda Technical University in Bhilai, India. He completed an M. Tech degree in Computer Science & Engineering from Kalinga Institute of Industrial Technology in Bhubaneswar, Odisha in 2016, and a B. Tech degree in Computer Science & Engineering from Dr. MGR Educational & Research Institute in Maduravoyal, Chennai in 2013. Machine Learning and Deep Learning are the person's research interests, specifically in the fields of advancements in these areas.
Shubham Mahajan Assistant Professor, Amity School of Engineering and Technology (ASET) Amity University, Gurugram, Panchgaon, Haryana, India.Dr. Shubham Mahajan is a distinguished academic and professional member of prestigious organizations such as IEEE, ACM, and IAENG. He earned his B.Tech. from Baba Ghulam Shah Badshah University, M.Tech. from Chandigarh University, and Ph.D. from Shri Mata Vaishno Devi University in India. Currently, he is pursuing a Post Doctoral degree in Applied Data Science at Noroff University College in Norway and acts as an assistant professor at Amity University, Haranya, India.
Dr. Mahajan specializes in artificial intelligence and image processing, holding eleven Indian patents along with one each from Australia and Germany. His extensive publication record includes over 70 articles in peer-reviewed journals and conferences, covering topics such as image segmentation, data mining, and machine learning. He received the 'Best Research Paper Award' from ICRIC 2019, published in the Springer LNEE series.
Throughout his career, Dr. Mahajan has earned numerous accolades, including the Best Student Award and the Emerging Scientist Award. He has also actively represented IEEE as a Campus Ambassador and has fostered international research collaborations. His commitment to advancing knowledge and innovation in his field is evident through his various contributions and achievements.
