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Introduces communication systems in healthcare and the role of 5G technology. Discusses specific applications, such as in remote surgery, robotic-assisted procedures; in telemedicine and mobile health apps; in dentistry; and more. Showcases applications of AI, big data, digital twin, real-time data analytics, etc. in the healthcare sector.
List of contents
Introduction 1. Revolutionary Impact of 5G on the Advancement of Technology in Healthcare
2. Remote Surgery and Robotic-Assisted Procedures: Technologies, Benefits, and Limitations, Applications, Regulatory Framework, and Future Trends 3. Liver Tumor Segmentation and Classification Model Using HDFOA-Based Deep Learning Model in Smart 5G Health Monitoring 4. Real-Time Data Analytics and Artificial Intelligence in Healthcare 5. Evaluation of AI in Healthcare: A Systematic Review on India 6. The Impact of 5G Technology on Telemedicine and Mobile Health Apps 7. Burgeoning Role and Importance of Digital Twin Technology in Precision Healthcare 8. Smart Healthcare Systems: The Fusion of Artificial Intelligence and Big Data in Patient Care 9. Role of 5G and Artificial Intelligence in Dentistry 10. Evolution of Communication in Advancing the Healthcare 11. 5G and Intelligence Medicine: Empowering Precision Medicine and Healthcare Through Next-Generation Technology 12. Health Tech Synergy: Real-Time Data Analytics, AI (Artificial Intelligence), and 5G Revolutionizing Healthcare 13. Telemedicine and Health Security in Nigeria 14. Security in 5G-Supported Health Data Exchange: Current Status and Open Challenges 15. Comprehensive Analysis of the Role of Intelligent Systems and the Use of Big Data in the Healthcare Sector 16. 5G Fog-Based Secure Data Management System for Secure and Reliable Healthcare Data Exchange 17. Role of 5G in Building Application of the Pathology Lab in Liver Diseases Detection Using Artificial Intelligence 18. Impact and Application of 5G-Enabled Technologies in Healthcare 19. Enhanced Telemedicine and Remote Care 20. 5G and Artificial Intelligence in Healthcare: Relight the Future
About the author
Mritunjay Rai, PhD, is an Assistant Professor of Electrical and Electronics Engineering, Shri Ramswaroop Memorial University, India. Dr. Rai is an active researcher and has published papers in SCI-indexed Q2 journals and at international and national conferences in his field. His areas of interest lie in image processing, medical image processing, healthcare systems, artificial intelligence, machine learning, deep learning, IoT, communication, speech processing, and robotics and automation. He has edited several books and has contributed many chapters to books published by Intech Open Access, CRC Press, IGI Global, Elsevier, Wiley, Apple Academic Press, and Nova Science Publishers. Currently, he is actively working on various statistical models to improve the efficiency of surveillance systems.
Jay Kumar Pandey, PhD, is an Assistant Professor of Electrical and Electronics Engineering, Shri Ramswaroop Memorial University, India. He has 13 years of teaching and research experience and has published book chapters and research papers in national and international journals and conferences. His subjects of interest are related to biomedical and healthcare, image processing, digital electronics, machine learning, and solar PV. Dr. Pandey is Editor of the
Journal of Technology Innovations and Energy (United States). He has published edited books and has contributed many chapters to books published by reputed publishers. He is a reviewer for conferences, book chapters, and journals including the
Journal of Supercomputing, Journal of Security and Communication Networks, Journal of Biomimetics, Biomaterials and Biomedical Engineering, Advanced Engineering Forum, etc.
