This book offers a comprehensive exploration of the Internet of Medical Things in the post-COVID-19 era. The COVID-19 epidemic has helped to expand the function of IoMT in healthcare at an exponential rate. The volume provides an overview of modern technologies used for the improvement of healthcare, such as IoT, 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, architectures, real-world applications, actual case studies, results of IoMT experiments and sensor-based systems, and more. The chapters look at various aspects of artificial intelligence in IoMT-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. Providing an understanding of the real applications, development of healthcare systems, architectural frameworks, and modern design elements of healthcare systems, Internet of Medical Things in Smart Healthcare: Post-COVID-19 Pandemic Scenario will be valuable for faculty and students, researchers, academicians, healthcare professionals, healthcare developers, and policymakers as well as for those in management and information technology.