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Autorentext
Dr. D. Jude Hemanth is currently working as a professor in Department of ECE, Karunya University, Coimbatore, India. He also holds the position of Visiting Professor in Faculty of Electrical Engineering and Information Technology, University of Oradea, Romania. He also serves as the Research Scientist of Computational Intelligence and Information Systems (CI2S) Lab, Argentina; LAPISCO research lab, Brazil; RIADI Lab, Tunisia; Research Centre for Applied Intelligence, University of Craiova, Romania and e-health and telemedicine group, University of Valladolid, Spain.
Dr. Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. He has published 37 edited books with reputed publishers such as Elsevier, Springer and IET. His research areas include Computational Intelligence and Image processing. He has authored more than 200 research papers in reputed SCIE indexed International Journals and Scopus indexed International Conferences.
Dr. P. Mary Jeyanthi is an Associate Professor of Jaipuria Institute of Management, Jaipur, India. She had one decade of industry experience in HDFC Bank Ltd, Business Intelligence Unit, Chennai, Tamil Nadu. She had a hand full of expertise in Business Intelligence and forecasting analytics. She had done her research in A New Implementation of Mathematical Models with metaheuristic Algorithms for Business Intelligence. Business Intelligence & Analytics initiatives on High Net Worth (HNW) Portfolio and She will be responsible for the creation and execution of strategies. She is also a visiting faculty of IMT Ghaziabad, Woxsen University, Hyderabad. Besides that, she had published a number of research papers in various national and international reputed journals. Conducted several workshops on Research Methodology and Business Intelligence. She is the Resource Person for many colleges regarding soft skill training and workshops related to research paper writing. She has contributed many articles in magazines related the Building up the Human Capital and Data Analytics. She is an expert in the novelty approach of writing and managing the analytics in health care sectors. Her research interest in Business Intelligence and Analytics, Artificial Intelligence, Big data analytics, Management Information Systems, Data Analysis, Metaverse and Business models.
Klappentext
Leveraging Metaverse and Analytics of Things (AoT) in Medical Systems explores the potential benefits and applications of emerging technologies such as metaverse and AoT in the field of healthcare. The book provides insights into how these technologies can be leveraged to improve the efficiency, effectiveness, and quality of medical systems. It explores the concept of metaverse and its potential applications in healthcare, including the use of virtual and augmented reality technologies for medical education, training, and simulation, as well as the development of immersive environments for patient care and therapy. The book also delves into the field of AoT, such as the use of wearable devices, smart sensors, and other connected technologies. Applications to monitor patient health, track medical outcomes, and inform clinical decision-making are covered. Integrating both technologies can help improve medical training, diagnosis, treatment, and patient outcomes through the use of virtual reality and real-time data analytics.
Inhalt
Part I: Introduction to Emerging Technologies in Healthcare 1. Overview of Emerging Technologies in Healthcare 2. The Metaverse and its Potential in Healthcare 3. Analytics of Things (AoT) and its Applications in Healthcare Part II: Applications of Emerging Technologies in Healthcare 4. Telemedicine and Virtual Care 5. Wearable Technology and Remote Monitoring 6. Electronic Health Records (EHRs) and Data Analytics 7. Robotics and Automation in Healthcare 8. Artificial Intelligence and Machine Learning in Healthcare Part III: Case Studies and Best Practices 9. Case Studies of Successful Technology Implementations in Healthcare 10. Best Practices for Adopting and Implementing Emerging Technologies in Healthcare Part IV: The Future of Emerging Technologies in Healthcare 11. Trends and Predictions for the Future of Healthcare Technology 12. Challenges and Opportunities for Healthcare Organizations Part V: Conclusion 13. Conclusion and Key Takeaways