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Revolutionary Impact of 5G on Advancement of Technology in Healthcare
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Revolutionary Impact of 5G on Advancement of Technology in Healthcare

Book Details

Format Hardback or Cased Book
ISBN-10 1779640021
ISBN-13 9781779640024
Publisher Apple Academic Press Inc.
Imprint Apple Academic Press Inc.
Country of Manufacture GB
Country of Publication GB
Publication Date Nov 10th, 2025
Print length 456 Pages
Weight 1,050 grams
Ksh 30,600.00
Werezi Extended Catalogue 0 in stock

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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.
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.

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