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
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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.
SM
Shubham Mahajan
Dr. Paras Chawla is an accomplished academic and researcher with over 24 years of experience across academia, research, industry, and administration. He holds a B.Tech. (Honors) and M.Tech. from Kurukshetra University and NIT Kurukshetra, and a Ph.D. from Thapar University, Patiala. Additionally, he completed a year-long Post Graduate Program in AI and ML from Purdue University, USA, along with a master's course from IBM. He is recently completed Post Doc Fellowship (PDF) in computer vision from Lincoln University, Malaysia. Currently, he serves as Professor & Director at Amity School of Engineering & Technology and Amity Institute of Information Technology, Amity University Haryana. His leadership journey includes roles like Zonal Head for IT Academics, Associate Dean, and Head of Departments, steering successful national and international accreditations. Dr. Chawla has guided 11 Ph.D. theses, 25 M.Tech. dissertations, and over 55 B.Tech. projects across various domains. His research expertise spans reconfigurable antennas, AI, machine learning, data science, 5G communications, and healthcare applications. He has published over 120 papers, including 92 SCI/Scopus indexed articles, and holds 24 patents, 15 of which have been granted. Notable achievements include receiving the prestigious Coventor Scholarship Award from MANCEF, New Mexico, and the Tenderfoot Award from NASA for his work in CanSat competitions. His innovations extend to AI and computer vision in transport and service robots, 3D-printed humanoid robots, and AI-driven educational methods.
Dr. Chawla’s visionary leadership and groundbreaking work continue to make significant contributions to both academic and technological advancements.