Healthcare Services in the Metaverse Game Theory, AI, IOT, and Blockchain Emerging Trends in Biomedical Technologies and Health informatics Series

This book focuses on game theory approaches utilized on various domains viz., IoT, blockchain and their applications to biomedical and healthcare services. The book bridges the gap between radiologists and Artificial Intelligence (AI)-driven automated systems by investigating various techniques such as game theoretic approach, blockchain technology basically utilized for security, and IoT applied on metaverse.

Healthcare Services in the Metaverse: Game Theory, AI, IoT, and Blockchain, identifies the potential areas where game theory and block chain techniques can be harnessed in the metaverse. The book discusses the integration of virtual reality (VR) with augmented reality to identify the new emerging techniques in healthcare to metaverse, where doctors and/or patients can see any kind of operation in the VR metaverse. The authors use game theoretical and blockchain approaches to understand healthcare issues, with the aim of utilizing different technologies of metaverse platform for health informatics.

This book is written to help healthcare practitioners and individuals across academia and research, as well as for those who work in biomedical, Internet of Things (IoT), Artificial Intelligence (AI), metaverse, VR, blockchain, and related technologies.

1. Technologies That Will Fuel the Future Metaverse and Its Potential Implementation in the Healthcare System

2. Digital Transformation in Healthcare: A Engineering Perspective on Metaverse, Game Theory, Artificial Intelligence, and Blockchain

3. Metaverse: The Next Version of the Internet

4. Digital Twins in the Metaverse

5. Metaverse for Development of Next Generation Smart Cities

6. Game Theory in the Metaverse: Strategies, Interactions, and Implications

7. Resource Allocation In Metaverse Via A Game Theoretic Auction-Based Mechanism.

8. Metaverse using Game Theory in Healthcare

9. Fake Medicine Detection Using Blockchain in Metaverse Domain

10. Smart Healthcare Services Employing Quantum Internet of Things on Metaverse

11. Quantum Blockchain-Based Healthcare: Merging Frontiers for Secure and Efficient Data Management.

12. Unstructured Data Handling in Healthcare Sector

Dr. Saurav Mallik is currently working as Research Scientist in the Department of Pharmacology and Toxicology, The University of Arizona, USA. Previously, he worked as Postdoctoral Fellow in Harvard University, MA, USA. Previously, he worked as Postdoctoral Fellow in the Center of Precision Health, Department of School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, and in the Division of Bio-statistics, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, USA. He obtained his PhD degree in the Department of Computer Science & Engineering (C.S.E.) from Jadavpur University, Kolkata, India in 2017 while his PhD works carried out in Machine Intelligence Unit (MIU), Indian Statistical Institute (ISI), Kolkata, India.

Dr. Anjan Bandyopadhyay is currently working as Assistant Professor in the Department of School of Computer Science & Engineering in Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India. He completed his PhD in the Department of Computer Science & Engineering from National Institute of Technology, Durgapur, West Bengal, India in 2023. He has co-authored more than 30 research publications in various peer-reviewed International Journals, Conferences and Book Chapters. He attended many national and international conferences in India and abroad. His research domains include Cloud Computing, Fog Computing and Algorithmic Game Theory.
Dr. Ruifeng Hu is currently working as Research Fellow at Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA. Previously, he worked as Postdoctoral Fellow in the Center of Precision Health, Department of School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA for three years (2018-2021). His research is focused on the application of multivariate statistics, machine learning, and deep learning to mics data, and bioinformatic