Metaverse in the Healthcare Industry: Potential Applications, Tools, and Techniques
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Metaverse in the Healthcare Industry: Potential Applications, Tools, and Techniques, explores the intersection of the rapidly evolving metaverse technology and its implications for the healthcare sector. It provides a comprehensive overview of different aspects including virtual and augmented reality, artificial intelligence, and other immersive technologies that have gained significant attention in recent years within the context of metaverse in healthcare. This book provides insights into the applications, tools, and techniques through which the metaverse can revolutionize healthcare by enabling virtual clinics, patient education through immersive experiences, remote medical training, therapeutic interventions, and many more. It delves into the technical aspects of metaverse development, integration with existing healthcare systems, ethical considerations, and the challenges associated with implementing metaverse technologies in healthcare settings. By bringing together diverse perspectives on the potential applications, tools, and techniques of the metaverse in the healthcare industry, Metaverse in the Healthcare Industry: Potential Applications, Tools, and Techniques, contributes to the ongoing discourse on the future of healthcare delivery and innovation, summarizing the key findings and insights from the various aspects of the metaverse that emphasize the potential to reshape the healthcare landscape, fostering innovation, improving patient care, and revolutionizing medical training and research.
Ganie, Shahid Mohammad: -
Dr. Shahid Mohammad Ganie is working as an Assistant Professor at the AI Research Centre in the School of Business at Woxsen University and holds the Chair Professor--Manjeet Rege Professor of Data Science and AI. He obtained his Ph.D (Machine Learning in Healthcare Informatics) and a master's degree in Computer Applications (MCA), where he was a Gold Medalist, from the School of Mathematical and Computer Sciences, BGSB University, Jammu and Kashmir-UT, India. He also holds a B.Sc in Mathematics from the University of Kashmir. He has been a passionate teacher with more than 2 years of teaching experience and research experience.
His research interests include Data Analytics, Machine Learning, Deep Learning, Medical Image Computing, Healthcare Informatics, and Smart Healthcare Systems. He is also interested in expanding his research into related areas such as Big Data Analytics, IoT in Healthcare, and Metaverse in Healthcare. He has published more than 20 research articles in refereed journals, edited books, and reputed international conferences. Additionally, he serves as a reviewer for international/national reputed journals such as the Journal of Big Data, Healthcare Analytics, Computers, Materials & Continua.
In addition, he is a member of the AI Research Centre at Woxsen University. He holds a research affiliation with the Woxsen Future Lab (Interdisciplinary/Multidisciplinary Research Lab) at Woxsen University. Furthermore, he serves as a member of the Technology Advisory Board, AI Research Centre, Woxsen University.
Kannan, Hemachandran: - "
Dr. Hemachandran Kannan is a Professor in the Department of Artificial Intelligence & Business Analytics at School of Business, Woxsen University, India and holds the Zita Zoltay Paprika of Decision Sciences and Business Economics and Course5i- Chair Professor of Business Analytics and Machine Learning. He has been a passionate teacher with 15 years of teaching experience and 5 years of research experience. A strong educational professional with a scientific bent of mind, highly skilled in AI & Business Analytics. After receiving a PhD in embedded systems, He started focusing on Interdisciplinary research. He served as an effective resource person at various national and international scientific conferences and panel discussions. He also gave lectures on topics related to Artificial Intelligence & Business Analytics. He was bestowed as Best faculty at Woxsen University in 2021-2022 and also in Ashoka Institute of Engineering & Technology in 2019 - 2020. He is having rich working experience in Natural Language Processing, Computer Vision, Building Video recommendation systems, Building Chatbots for HR policies and Education Sector, Automatic Interview processes, and Autonomous Robots. Dr. Hemachandran is currently working on various real-time use cases and projects in collaboration with Industries such as Advertflair, Nosh Technologies, Course5i and Apstek Corp. He has organized many International Conferences, Hackathons and Ideathon. He owed four patents to his credentials. He has a life membership in estimable professional bodies. An open-ended positive person who has a stupendous peer-reviewed publication record with more than 35 journals and international conference publications. As of now, he has edited CRC Press Taylor and Francis books such as Bayesian Reasoning and Gaussian Process for Machine Learning Applications, machine learning for Business Analytics and Coded Leadership Developing Scalable Management in an AI -induced Quantum World.
"Munuswamy, Suresh Babu: -
Dr Suresh Munuswamy is a medical doctor, scientist and a start-up entrepreneur. He studied M.B.B.S in Chennai, M.P.H in Oxford and PhD in Tokyo. He was the first Indian to be selected for the Public Health Leadership Doctorate Program fully sponsored by the Government of Japan. Presently he is the Deputy Director and Additional Professor
at Public Health Foundation of India (PHFI) for Technology Innovations; Director at Hi Rapid Lab -PHFI's first faculty led start-up company; and the coordinator for India's first integrated MSc and PhD Health Informatics program at IIPH- Hyderabad. Previously he was part of the team that started India's first School of Public Health in a private university at SRM near Chennai.
He has 6 years of clinical experience, 7 years of public health experience and over 10 years of experience in design, development of comprehensive software, hardware and mobility platforms for delivering universal primary health care screening and treatment at home. The platform developed by Dr.Suresh, integrates several design and technology approaches, including graphic icons and AR for UI, wide spectrum images (within and beyond visual) for automated feature identification, iterative looped logic and artificial intelligence for decision making, custom configured ground (two and four wheeler) and unmanned aerial vehicles/ drones for product supply chain. He has about 10 design and process patents to his credit. Several components of the platform, are currently being field tested in several locations for several applications. For the idea of home based primary health care to be sustainable and become part of the health system, he is continuously working on creating an innovation led service ecosystem bringing together public health experts, technologists (software, hardware, automobile, aerospace), designers, donors, regulators, bureaucrats, field managers, students of various back grounds and grassroot level service providers with the purpose of providing primary health care at home. Further information about his work is available on www.hirapidlab.com or you can simply search his name on google.
Rege, Manjeet: -
Dr. Manjeet Rege is a Professor and Chair of the Department of Software Engineering and Data Science; and Director of the Center for Applied Artificial Intelligence at the University of St. Thomas. Dr. Rege is an author, mentor, thought leader, and a frequent public speaker on Big Data, Machine Learning, and Artificial Intelligence technologies. He is also the co-host of the "All Things Data" podcast that brings together leading data scientists, technologists, business model experts and futurists to discuss strategies to utilize, harness and deploy data science, data-driven strategies and enable digital transformation. Apart from being engaged in research, Dr. Rege regularly consults with various organizations to provide expert guidance for building Big Data and AI practice, and applying innovative data science approaches. He has published in various peer-reviewed reputed venues such as IEEE Transactions on Knowledge and Data Engineering, Data Mining & Knowledge Discovery Journal, IEEE International Conference on Data Mining, and the World Wide Web Conference. He is on the editorial review board of Journal of Computer Information Systems and regularly serves on the program committees of various international conferences.
Rodriguez, Raul Villamarin: -
Dr. Raul Villamarin Rodriguez is the Vice President of Woxsen University, where he holds the Steven Pinker Professorship in Cognitive Psychology and the Classavo Chair in Integrative Research and Digital Learning. He is also an Adjunct Professor at Universidad del Externado in Colombia and serves on the International Advisory Boards of IBS Ranepa in Russia and the University of Pécs Faculty of Business and Economics. Dr. Rodriguez represents India on the PRME i5 Expert Pedagogy Group and holds a Ph.D. in Artificial Intelligence and Robotics Process Automation in Human Resources. His expertise includes machine learning, deep learning, natural language processing, and quantum artificial intelligence. He is a registered expert in these fields with the European Commission and was nominated for the Forbes 30 Under 30 Europe 2020 list. Dr. Rodriguez has co-authored two reference books, published over 70 research papers, and is a regular contributor to various magazines on analytics and emerging technologies. He also serves as a journal reviewer and associate editor for several publications, including IEEE.
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