Computational Intelligence For Medical Internet Of Things Miot Applications
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Computational Intelligence for Medical Internet of Things (MIoT) Applications
Computational Intelligence for Medical Internet of Things (MIoT) Applications: Machine Intelligence Applications for IoT in Healthcare explores machine intelligence techniques necessary for effective MIoT research and practice, taking a practical approach for practitioners and students entering the field. This book investigates advanced concepts and applications in the MIoT field, guiding readers through emerging developments and future trends. A wide range of international authors guide readers through advanced concepts, including deep learning, neural network, and big data analytic approaches for the classification, indexing, retrieval, analysis, and inferencing of healthcare data. - Presents the state-of-the-art in machine intelligence and related technologies and methodologies for IoT in healthcare - Discusses emerging developments and trends in machine intelligence for business and decision-making strategy in healthcare - Features new models, practical solutions, prototypes, frameworks and technological advances related to machine intelligence for MIoT applications
Merging Artificial Intelligence With the Internet of Things
Artificial intelligence (AI) and the Internet of Things (IoT) converge to create smart, interconnected systems. This intelligent connectivity enhances the efficiency and innovation of the systems with greater automation, improved decision-making capabilities, and faster reaction times. By amplifying each other, they can transform engineering, security, and management in numerous settings. As a result, their blending is shaping the future of technology in smart cities, healthcare, agriculture, and other sectors. Merging Artificial Intelligence With the Internet of Things stimulates further research into AIoT applications and provides a robust framework for teaching the next generation of tech innovators. By presenting a blend of theoretical knowledge and practical case studies, it bridges the gap between academia and industry, encouraging interdisciplinary research and collaboration. Covering topics such as bio-inspired algorithms, clinical care, and food security, this book is an excellent resource for technology professionals, technology developers, industry leaders, policymakers, professionals, researchers, scholars, academicians, and more.
Utilizing AI of Medical Things for Healthcare Security and Sustainability
The integration of AI and IoT in healthcare, particularly through the Internet of Medical Things (IoMT), is revolutionizing medical care by enhancing efficiency and personalization. These technologies enable more accurate patient monitoring, streamlined healthcare delivery, and customized treatment plans that address individual needs. With the ability to analyze vast amounts of patient data in real-time, AIoMT is improving diagnostics, outcomes, and the overall patient experience. This transformation holds significant potential to reduce healthcare costs, alleviate the burden on traditional systems, and improve overall public health. By fostering smarter healthcare practices, AIoMT is helping to shape a more responsive, efficient, and accessible medical landscape. Utilizing AI of Medical Things for Healthcare Security and Sustainability explores the transformative role of AI and IoMT in modern healthcare. It delves into how AI-driven technologies and smart medical devices are revolutionizing patient care through real-time monitoring, predictive analytics, and personalized treatment plans. Covering topics such as autonomous vehicles, disease prediction, and wearable health technology, this book is an excellent resource for researchers, healthcare professionals, academicians, technologists, and more.