The COVID-19 epidemic has helped to expand the function of the Internet of Medical Things in healthcare at an exponential rate. This book offers a comprehensive exploration of Io MT in the post-COVID-19 era, providing an overview of modern technologies used for the improvement of healthcare, such as Io T, artificial intelligence, robotics, big data, and wearable devices used in healthcare applications, with a focus on the detection and treatment of COVID-19 and related viruses. The volume presents the principles, state-of-the-art developments, architecture, real-world applications, actual case studies, results of Io MT experiments and sensor-based systems, and more. The chapters look at various aspects of artificial intelligence in Io MT-based telemedicine, health monitoring, early COVID detection, automatic intravenous fluids feeds, chest x-ray images, data collection for decision-making, security of health information, and more. This volume provides an understanding of the real applications, development of healthcare systems, architectural frameworks, and modern design elements of healthcare systems.
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