Secure and Responsible AI in Technology-Enabled IoT and IoMT Systems

The Internet of Medical Things (IoMT) is revolutionizing modern healthcare by seamlessly connecting intelligent medical devices, wearable sensors, and advanced communication networks to deliver smarter, faster, and more personalized healthcare services. By integrating Artificial Intelligence (AI), machine learning, cloud computing, and edge analytics, IoMT enables continuous patient monitoring, predictive diagnostics, remote healthcare management, and data-driven clinical decision-making. This convergence of intelligent technologies is transforming traditional healthcare systems into proactive, patient-centric ecosystems capable of improving clinical outcomes while reducing operational costs. This book provides a comprehensive exploration of AI-driven IoMT technologies, highlighting recent advancements, real-world healthcare applications, security and privacy challenges, interoperability standards, ethical considerations, and future research directions. Covering topics ranging from smart hospitals and wearable healthcare devices to digital twins, federated learning, blockchain-enabled healthcare security, and next-generation 6G-enabled medical networks, the book serves as an essential reference for researchers, healthcare professionals, engineers, policymakers, and graduate students seeking to understand the future of intelligent connected healthcare.