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Elsevier

Metaverse Technologies in Healthcare

  • 1st Edition - July 11, 2024
  • Latest edition
  • Editors: Rajesh Kumar Dhanaraj, Srishti Vashishtha, Malathy Sathyamoorthy, Balamurugan Balusamy, Korhan Cengiz
  • Language: English

Metaverse Technologies in Healthcare focuses on data analysis, utilizing the possibilities of data to increase the effectiveness of healthcare organizations. As healthcar… Read more

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Description

Metaverse Technologies in Healthcare focuses on data analysis, utilizing the possibilities of data to increase the effectiveness of healthcare organizations. As healthcare services aim to maintain the physical, mental, social and emotional well-being of human lives while the Metaverse is a blend of technological trends- Artificial Intelligence (AI), Augmented Reality (AR) and Virtual Reality (VR), collectively, they can deliver treatments and medicines, lower costs, and substantially enhance patient outcomes. The book redefines the digital health experience and describes the advantages of the Metaverse-based NFT technology in the healthcare sector, facilitating NFT avatars to interact with targeted audiences, and more.

Key features

  • Shows the potential of digital experiences on the healthcare sector
  • Focuses on the leading channels fueling the digital health space, such as Telemedicine, Digital Twins, Block chain, Internet of Things, and Robotics, providing new directions in this sector
  • Provides guidance to healthcare companies on how to augment their Digital Roadmaps with personalized care

Readership

Researchers and graduate students on bioinformatics, Researchers in AI, virtual reality, telemedicine and healthcare industries

Table of contents

1. Introduction to digital literacy and data security in healthcare industry: Issues and challenges

2. AI based Augmented reality and Virtual reality Models for HealthCare Industry

3. Design, Implementation and Evaluation of Metaverse Technology for Health Education

4. Metaverse as a vehicle for current Digital Medicine

5. IoT based Telemedicine framework for Human lives

6. Blockchain Strategies for Medicine and Health Science

7. Development of Metaverse Techniques during and post COVID-19 era

8. Machine Learning based Models for implementing Digital Twins in HealthCare Industry

9. Enhanced machine Learning models for Mental Health care based on Metaverse technology

10. Deep Learning Models for e-Health and Medical Care services

11. Algorithms for developing Virtual Hospitals in HealthCare Industry

12. Distinctive Telepresence Technologies for Telemedicine HealthCare Industry

13. Methods, Tools and Techniques for Cancer Detection and Treatment integrated with Metaverse Technology

14. Metaverse Methodologies for Prevention of Obesity and Chronic Diseases

15. HealthCare Metaverse Applications in Medical Informatics

16. Tools and Applications for Telesurgery in HealthCare Industry

17. Gamification Applications based on Metaverse for HealthCare Industry

18. Mixed Reality Applications for HealthCare Industry

19. Human-Computer Interactive Applications based on Metaverse for Medical Ecosystem

20. Awareness on legal and ethical issues in healthcare: A metaverse perspective

Product details

  • Edition: 1
  • Latest edition
  • Published: July 11, 2024
  • Language: English

About the editors

RD

Rajesh Kumar Dhanaraj

Dr. Rajesh Kumar Dhanaraj is a professor at the Symbiosis International (Deemed University) in Pune, India. His research and publication interests include cyber-physical systems, wireless sensor networks, and cloud computing. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Computer Science Teacher Association (CSTA) and member of the International Association of Engineers (IAENG). He is an expert advisory panel member of Texas Instruments Inc. (USA), and an associate editor of International Journal of Pervasive Computing and Communications (Emerald Publishing).
Affiliations and expertise
Professor, Symbiosis International (Deemed University), Pune, India

SV

Srishti Vashishtha

Dr. Srishti Vashishtha work at Bharti Vidyapeeth’s College of Engineering, GGIPU as an Assistant Professor in the CSE Department. She received her Ph.D. degree in Sentiment Analysis and Social Media domain from Delhi Technological University. She has received the B.Tech. degree in information technology from the Maharaja Surajmal Institute of Technology, GGSIPU, New Delhi, India, and the M.Tech. degree in Computer Science from the University School of Information, Communication, and Technology, GGSIPU. Her current area of interest includes Machine Learning, Deep Learning, Data Mining, Natural language Processing, Sentiment Analysis, Speech Emotion Recognition, and Fuzzy logic. She has about 7+ years of teaching experience in esteemed institutions. Qualified GATE and UGC-NET. Published 10 research papers in Peer-reviewed/ Scopus/Web of Science indexed international journals, among which 6 are SCIE and 8 IEEE/ Springer international conferences. Dr. Srishti has a current h-index: of 8. She is a reviewer in various SCIE and Peer-reviewed journals. Dr. Srishti has received DTU Research Excellence awards for commendable research 4 times consecutively in the years 2020- 2023. She has delivered many sessions on Machine Learning and Computer vision at various institutes.
Affiliations and expertise
Assistant Professor, Department of CSE, Bharati Vidhyapeeth’s College of Engineering, GGSIPU, Delhi, India

MS

Malathy Sathyamoorthy

Dr. Malathy holds a PhD in Information and Communication Engineering from Anna University, Chennai, India. Her research areas include wireless sensor networks, Internet of Things, and applied machine learning. She is a life member of the Indian Society for Technical Education (ISTE) and the International Association of Engineers (IAENG). She is an active author/editor for Springer, CRC Press, and Elsevier. She is also a reviewer for Wireless Networks (Springer) and on the editorial board at many international conferences.

Affiliations and expertise
Assistant Professor, Department of Information Technology, KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India

BB

Balamurugan Balusamy

Dr. Balamurugan Balusamy is currently working as an Associate Dean Student in Shiv Nadar Institution of Eminence, Delhi-NCR. He is part of the Top 2% Scientists Worldwide 2023 by Stanford University in the area of Data Science/AI/ML. He is also an Adjunct Professor in the Department of Computer Science and Information Engineering, Taylor University, Malaysia. His contributions focus on engineering education, blockchain, and data sciences

Affiliations and expertise
Shiv Nadar University, Delhi-NCR, India

KC

Korhan Cengiz

Assoc. Prof. Dr. Korhan Cengiz is a senior researcher at the University of Hradec Králové, Czech Republic, and Associate Professor at Istinye University, Turkey. He holds a PhD in Electronics Engineering from Kadir Has University and has held academic roles in Turkey, the UAE, and Jordan. Dr. Cengiz has authored over 40 SCI/SCI-E articles, 10+ book chapters, 5 international patents, and edited more than 20 books. His research focuses on wireless sensor networks, IoT, signal processing, and 5G. He serves as Associate Editor for IEEE Transactions on Intelligent Transportation Systems, IEEE Potentials, and IET journals, and is a frequent keynote speaker at IEEE and Springer conferences. A Senior Member of IEEE and ACM, he has received multiple awards, including best paper and presentation honors at ICAT conferences.
Affiliations and expertise
University Research Committee Chair, University of Fujairah, United Arab Emirates

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