Healthcare Services in the Metaverse: Game Theory, Ai, Iot, and Blockchain

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.

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 bioinformatics data.
Dr. Pawan Kumar Singh is currently an Assistant Professor in the Department of Information Technology, Jadavpur University, Kolkata, West Bengal, India from 2019. Dr. Singh obtained his PhD degree from Jadavpur University in 2018. Previously, he served as assistant professor in Department of Computer Science and Engineering, Techno India-Batanagar, WB, India (2018), Calcutta Institute of Technology (CIT), Uluberia, Howrah, WB, India (2019). Dr. Singh has co-authored more than 100 research papers in various peer-reviewed International Journals, Conferences and BooHis research areas include Pattern Recognition, Computer Vision, Handwriting Recognition, Machine Learning and Artificial Intelligence.
Prof. (Dr.) Soumadip Ghosh is currently serving as a Professor in the Department of Computer Science & Engineering, Sister Nivedita University, Kolkata, India. He obtained his PhD from University of Kalyani, West Bengal, India in 2017. He has more than eighteen years of teaching and research experience. He has co-authored more than 30 research papers, and his research domains are Data Mining, Machine Learning and Deep Learning.

Dr. Sujata Swain is an Assistant Professor in the School of Computer Engineering of Kalinga Institute of Industrial Technology, Orissa, India. She obtained her Ph.D and M. Tech. in the Department of Computer Science and Engineering from Indian Institute of Technology (IIT) Roorkee, India. Previously, she had worked as an Assistant professor at IIMT Engineering College, Meerut Galgotia’s College of Engineering and Technology, Greater Noida, India. She has more than 40 publications and her research interests include Web Service Composition, Service-Oriented Computing and Pervasive Computing.