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Applied Artificial Intelligence
A Biomedical Perspective
Introduction
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: Technological Background
Part I of the book presents the technological background of the book in terms of applied artificial intelligence in the biomedical domain.
Part II: Medical Image Analysis
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: Cyberphysical Systems and IoT
Part III focuses on the use of cyberphysical systems that facilitate computing anywhere by using medical IoT and biosensors and the numerous applications of this technology in the healthcare domain.
Part IV: Signal Processing Applications
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: Biosensors and Security
Part V highlights the scope and applications of biosensors and security aspects of biomedical images.
Target Audience
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.
