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. It fil… Read more
- 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
JM
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.
SM
Shubham Mahajan
Dr. Shubham Mahajan, a distinguished member of prestigious organizations such as IEEE, ACM, and IAENG, boasts an impressive academic and professional background. He earned his B.Tech. degree from Baba Ghulam Shah Badshah University, his M.Tech. degree from Chandigarh University, and his Ph.D. degree from Shri Mata Vaishno Devi University (SMVDU) in Katra, India.
Dr. Mahajan has a remarkable track record in the field of artificial intelligence and image processing, holding an impressive portfolio of eleven Indian patents, as well as one Australian and one German patent. His contributions to the field are further evidenced by his extensive publication record, which includes over 100+ articles published in peer-reviewed journals, conferences and 10+ books. His research interests span a wide array of topics, encompassing image processing, video compression, image segmentation, fuzzy entropy, nature-inspired computing methods, optimization, data mining, machine learning, robotics, and optical communication. Notably, his dedication and expertise have earned him the 'Best Research Paper Award' from ICRIC 2019, published by Springer in the LNEE series.
In recognition of his exceptional achievements, Dr. Mahajan has received numerous accolades and honours throughout his career. These include the Best Student Award in 2019, the IEEE Region-10 Travel Grant Award in 2019, the 2nd runner-up prize in the IEEE RAS HACKATHON in 2019 (held in Bangladesh), the IEEE Student Early Researcher Conference Fund (SERCF) in 2020, the Emerging Scientist Award in 2021, and the IEEE Signal Processing Society Professional Development Grant in 2021. His commitment to excellence in research was further underscored by his receipt of the Excellence in Research Award in 2023.
Dr. Mahajan's impact extends beyond the realm of academia. He has served as a Campus Ambassador for IEEE, representing esteemed institutions such as IIT Bombay, Kanpur, Varanasi, Delhi, as well as various multinational corporations. His active engagement in fostering international research collaborations reflects his enthusiasm for advancing the frontiers of knowledge and innovation on a global scale.