Metaverse Applications for Intelligent Healthcare explores the exciting intersection of artificial intelligence (AI) and the metaverse in the field of healthcare. The use of AI technology in healthcare has already shown great potential in assisting with diagnosis, treatment, and patient care. The metaverse, with its immersive virtual environments, has the potential to revolutionize healthcare by making it more accessible, efficient, and personalized.

This book introduces various applications of the metaverse in healthcare, including virtual consultations, remote patient monitoring, and virtual rehabilitation. The book discusses how the metaverse can be used to provide immersive experiences that empower patients and providers, while also offering unique learning opportunities. The book is ideal for researchers, practitioners, healthcare professionals, scholars, and students who are interested in exploring the cutting-edge technology of AI and the metaverse in healthcare. It offers insights into the future of healthcare, and how these technologies can be used to provide better care to patients. By combining the latest research in AI and the metaverse, this book provides a comprehensive overview of the potential applications of these technologies in healthcare.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

AR in surgical procedures
Effective Patient Education
Gamification in Healthcare (Fitness apps, Smart Workouts)
Mental Health Treatment using Virtual Platform
Metaverse in Radiology
Telemedicine (Virtual therapies, Virtual Hospitals, Medical Diagnosis)
Use of AR/VR for pain management
Use of Augmented reality in Surgical procedures
Use of Virtual Reality in medical training and education
Virtual Gyms and Sports
Virtual Meditation
Wearable Technology

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Editor/Author Biographies

Loveleen Gaur is currently working as an adjunct professor with Taylor University, Malaysia & University of South Pacific, Fiji and academic consultant with Australian School of Graduate Studies. Before moving to USA, she was working as Professor with Amity University, India. She has supervised several PhD scholars, Post Graduate students, mainly in Artificial Intelligence and Data Analytics for business and healthcare. Under her guidance, the AI/Data Analytics research cluster has published extensively in high impact factor journals and has established extensive research collaboration globally with several renowned professionals. She is a senior IEEE member and Series Editor with CRC and Wiley. She has high indexed publications in SCI/ABDC/WoS/Scopus and has several Patents/copyrights on her account, edited/authored many research books published by world-class publishers. She has excellent experience in supervising and co-supervising postgraduate and PhD students internationally. An ample number of Ph.D. and master’s students graduated under her supervision. She is an external Ph.D./Master thesis examiner/evaluator for several universities globally. She has also served as Keynote speaker for several international conferences, presented several Webinars worldwide, chaired international conference sessions. Prof. Gaur has significantly contributed to enhancing scientific understanding by participating in many scientific conferences, symposia, and seminars, by chairing technical sessions and delivering plenary and invited talks. She has specialized in the fields of Artificial Intelligence, Machine Learning, Pattern Recognition, Internet of Things, Data Analytics and Business Intelligence. She has chaired various positions in International Conferences of repute and is a reviewer with top rated journals of IEEE, SCI and ABDC Journals. She has been honored with prestigious National and International awards. She has introduced courses related to Artificial Intelligence specialization including, Predictive Analytics, Deep and Reinforcement learning etc. She has vast experience teaching advanced-era specialized courses, including Predictive Analytics, Data Visualization, Social Network Analytics, Deep Learning, Power BI, Digital Marketing and Digital Innovation etc., besides other undergraduate and postgraduate courses, graduation projects, and thesis supervision.

Noor Zaman Jhanjhi (NZ Jhanjhi) is currently working as Associate Professor, Director Center for Smart society 5.0 [CSS5], & Cluster Head for Cybersecurity, at the School of Computer Science and Engineering, Taylor’s University, Malaysia. He is supervising a great number of Postgraduate students, mainly in cybersecurity for Data Science. Dr Jhanjhi serves as Associate Editor and Editorial Assistant Board for several reputable journals, received Outstanding Associate Editor Award for IEEE ACCESS for 2020, PC member for several conferences, guest editor for the reputed journals. He is awarded globally as a top 1% reviewer by Publons (WoS). His collective research Impact factor is 400 plus. He has Patents on his account, edited/authored 35 plus research books published by world-class publishers. He is an external Ph.D./Master thesis examiner/evaluator globally, completed more than 22 internationally funded research grants. Served as a keynote speaker for several conferences, presented Webinars, chaired conference sessions, provided Consultancy internationally. His research areas include Cybersecurity, IoT security, Wireless security, Data Science, Software Engineering, UAVs.

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