In this era of unprecedented connectivity and technological evolution, the fusion of 5G networks with healthcare promises a transformative journey that transcends the boundaries of traditional medical practices. The relentless pursuit of innovation, underpinned by the power of fifth-generation wireless technology, is poised to redefine the landscape of healthcare delivery, patient outcomes, and the very fabric of medical research. This new volume focuses on the recognition of 5G as a catalyst for monumental change in the healthcare sector in order to take advantage of today's technology that fosters more interconnectedness, with the potential to leverage high-speed, low-latency communication afforded by 5G, opening up new frontiers for medical breakthroughs. This book helps to unravel the layers of this technological revolution and illuminate the ways in which 5G is reshaping the future of healthcare.
Combining theoretical insights with real-world examples, case studies, and expert perspectives, the volume provides an introduction to communication systems in healthcare and the role of 5G technology and then goes on to discuss specific applications, such as in remote surgery and roboticassisted procedures; for liver tumor segmentation and classification using deep learning models; in telemedicine and mobile health apps; in dentistry; in health security; and more. The volume showcases the diverse applications of artificial intelligence, big data, digital twin, real-time data analytics, etc. in the healthcare sector.
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.
