
Metaverse in the Healthcare Industry
Potential Applications, Tools, and Techniques
$500.99
- Paperback
314 pages
- Release Date
12 September 2025
Summary
Metaverse in the Healthcare Industry: Potential Applications, Tools, and Techniques
The metaverse is rapidly evolving, and its potential impact on the healthcare industry is immense. This book explores the transformative possibilities of the metaverse in healthcare, examining how it can revolutionize patient care, medical education, and research.
Key areas covered include:
- Virtual Reality (VR) and Augmented Reality (AR) in Healthcare:…
Book Details
| ISBN-13: | 9780443301827 |
|---|---|
| ISBN-10: | 0443301824 |
| Author: | Hemachandran Kannan, Shahid Mohammad Ganie, Raul Villamarin Rodriguez, Manjeet Rege, Suresh Babu Munuswamy |
| Publisher: | Elsevier - Health Sciences Division |
| Imprint: | Elsevier - Health Sciences Division |
| Format: | Paperback |
| Number of Pages: | 314 |
| Release Date: | 12 September 2025 |
| Weight: | 510g |
| Dimensions: | 191mm x 235mm |

Hemachandran Kannan
Dr. Hemachandran Kannan
Professor, Department of Artificial Intelligence & Business Analytics, School of Business, Woxsen University, India. Holds the Zita Zoltay Paprika of Decision Sciences and Business Economics and Course5i- Chair Professor of Business Analytics and Machine Learning.
- Experience: 15 years teaching, 5 years research.
- Skills: AI & Business Analytics, Interdisciplinary Research.
- Areas of Expertise: Natural Language Processing, Computer Vision, Video Recommendation Systems, Chatbots, Automatic Interview Processes, Autonomous Robots.
- Collaborations: Advertflair, Nosh Technologies, Course5i, Apstek Corp.
- Achievements: Best Faculty awards (Woxsen University 2021-2022, Ashoka Institute of Engineering & Technology 2019-2020), 4 patents.
- Publications: Over 35 peer-reviewed journals and international conference publications.
- Edited Books: Bayesian Reasoning and Gaussian Process for Machine Learning Applications; Machine Learning for Business Analytics; Coded Leadership Developing Scalable Management in an AI -induced Quantum World.
Dr. Shahid Mohammad Ganie
Assistant Professor, Department of Health Information Management and Technology, College of Applied Medical Sciences, King Faisal University, Al-Ahsa, Saudi Arabia.
- Research Interests: Data Analytics, Explainable Artificial Intelligence, Machine Learning, Deep Learning, Healthcare Informatics, Medical Image Analysis, Smart Healthcare Systems.
- Achievements: Over multiple research articles in peer-reviewed journals and international conferences, 2 healthcare-related patents.
- Focus: Developing AI-driven solutions for healthcare applications.
Dr. Raul Villamarin Rodriguez
Vice President, Woxsen University. Professor in Cognitive Psychology and Integrative Research. Adjunct Professor at Universidad del Externado, Colombia.
- Specializations: Artificial Intelligence, Robotic Process Automation in Human Resources, Machine Learning, Deep Learning, Natural Language Processing, Quantum AI.
- Recognition: Expert by the European Commission.
- Contributions: Global academic initiatives, responsible management education, pedagogy.
- Focus: Advancing AI-driven innovation, analytics, and digital learning in higher education and applied research.
Dr. Manjeet Rege
Professor and Chair, Department of Software Engineering and Data Science; Director, Center for Applied Artificial Intelligence, University of St. Thomas.
- Roles: Author, mentor, thought leader, public speaker.
- Topics: Big Data, Machine Learning, Artificial Intelligence.
- Podcast: Co-host of “All Things Data”.
- Consulting: Provides expert guidance for Big Data and AI practices, and innovative data science approaches.
- Publications: IEEE Transactions on Knowledge and Data Engineering, Data Mining & Knowledge Discovery Journal, IEEE International Conference on Data Mining, World Wide Web Conference.
- Editorial Roles: Editorial review board of Journal of Computer Information Systems.
Dr. Suresh Munuswamy
Deputy Director and Additional Professor, Public Health Foundation of India (PHFI) for Technology Innovations. Director at Hi Rapid Lab. Coordinator for India’s first integrated MSc and PhD Health Informatics program at IIPH-Hyderabad.
- Background: Medical Doctor, Scientist, Start-up Entrepreneur.
- Education: MBBS, MPH (Oxford), PhD (Tokyo).
- Experience: 6 years clinical, 7 years public health, 10+ years in design & development of software, hardware, and mobility platforms for home-based primary healthcare.
- Platform Features: Graphic icons and AR for UI, wide spectrum images for automated feature identification, AI for decision making, custom configured vehicles, and drones for supply chain.
- Achievements: 10 design and process patents.
- Focus: Creating an innovation-led service ecosystem for sustainable home-based primary healthcare.
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