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This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing. It will also contribute to biosensors and secure systems,and related research. Applied Artificial Intelligence: A Biomedical Perspective begins by detailing recent trends and challenges of applied artificial intelligence in biomedical systems. Part I of the book presents the technological background of the book in terms of applied artificial intelligence in the biomedical domain. Part II demonstrates the recent advancements in automated medical image analysis that have opened ample research opportunities in the applications of deep learning to different diseases. Part III focuses on the use of cyberphysical systems that facilitates computing anywhere by using medical IoT and biosensors and the numerous applications of this technology in the healthcare domain. Part IV describes the different signal processing applications in the healthcare domain. It also includes the prediction of some human diseases based on the inputs in signal format. Part V highlights the scope and applications of biosensors and security aspects of biomedical images. The book will be beneficial to the researchers, industry persons, faculty, and students working in biomedical applications of computer science and electronics engineering. It will also be a useful resource for teaching courses like AI/ML, medical IoT, signal processing, biomedical engineering, and medical image analysis.
This book investigates the integration of cutting-edge technologies into biomedical applications to address current and future challenges. The authors, experts in their fields, present a comprehensive exploration of Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing as applied to healthcare. The book is structured into five parts, detailing the technological background, advancements in medical image analysis, the role of cyberphysical systems and biosensors, signal processing applications for disease prediction, and the scope of biosensors and security in biomedical imaging.
The book is positioned as a valuable resource for researchers, industry professionals, faculty, and students working in the intersection of computer science, electronics engineering, and biomedical applications. Its content is deemed suitable for courses covering AI/ML, medical IoT, signal processing, biomedical engineering, and medical image analysis, indicating its utility as both a reference and a teaching tool.
Page Count:
410
Publication Date:
2023-09-29
Publisher:
Taylor & Francis
ISBN-10:
100089620X
ISBN-13:
9781000896206
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