Applied Artificial Intelligence: A Biomedical Perspective

This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like AI, IoT, and Signal Processing. It will also contribute to biosensors and secure systems, and related research.

Format: Hardback
Length: 390 pages
Publication date: 29 September 2023
Publisher: Taylor & Francis Ltd

Applied Artificial Intelligence: A Biomedical Perspective delves into the forefront of advancements and future challenges in biomedical application developments, harnessing breakthrough technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing. This comprehensive book not only explores these cutting-edge technologies but also makes significant contributions to biosensors and secure systems, as well as related research domains.

In the opening chapter, Applied Artificial Intelligence: A Biomedical Perspective provides an insightful overview of recent trends and challenges in applied artificial intelligence within biomedical systems. It sets the stage for the subsequent chapters by providing a foundational understanding of the technological background of applied artificial intelligence in the biomedical domain.

Part I of the book delves into the technological advancements that have propelled applied artificial intelligence in the biomedical realm. It explores the various applications of AI, including machine learning, natural language processing, and computer vision, in medical imaging, diagnosis, and treatment. The chapter highlights the potential of these technologies to revolutionize healthcare by enabling accurate and timely detection of diseases, personalized treatment plans, and improved patient outcomes.

Part II delves into the realm of automated medical image analysis, a field that has witnessed remarkable progress in recent years. It showcases the recent advancements in deep learning algorithms, which have opened up vast research opportunities in the applications of AI to different diseases. The chapter discusses the use of convolutional neural networks, recurrent neural networks, and transfer learning techniques to analyze medical images, such as X-rays, CT scans, and MRI scans, with high accuracy and precision. It also explores the potential of these algorithms to detect early signs of disease, classify medical images, and assist in medical decision-making.

Part III focuses on the use of cyberphysical systems, which combine computing and medical devices to facilitate computing anywhere through the integration of medical IoT and biosensors. The chapter discusses the numerous applications of this technology in the healthcare domain, including remote monitoring, patient care, drug delivery, and medical training. It highlights the benefits of cyberphysical systems in improving patient outcomes, reducing healthcare costs, and enhancing the efficiency of healthcare delivery.

Part IV delves into the diverse applications of signal processing in the healthcare domain. It explores the use of signal processing techniques, such as time-frequency analysis, wavelet analysis, and machine learning, to analyze biomedical signals, such as EEG, ECG, and ultrasound, for disease diagnosis, monitoring, and prediction. The chapter discusses the potential of these techniques to detect early signs of disease, monitor patient health, and develop personalized treatment plans.

Part V highlights the scope and applications of biosensors, which are essential components in biomedical applications. It discusses the development of new biosensors for various applications, including medical diagnostics, drug discovery, and environmental monitoring. The chapter explores the potential of biosensors to improve patient care, reduce healthcare costs, and enhance the understanding of biological processes.

Applied Artificial Intelligence: A Biomedical Perspective is a valuable resource for researchers, industry professionals, faculty members, and students engaged in biomedical applications of computer science and electronics engineering. It provides a comprehensive and up-to-date overview of the latest advancements and future challenges in applied artificial intelligence, IoT, and signal processing. The book serves as a valuable guide for those seeking to explore the potential of these technologies in healthcare and other related fields.

Furthermore, the book is well-suited for teaching courses such as AI/ML, medical IoT, signal processing, biomedical engineering, and medical image analysis. It offers a comprehensive and interdisciplinary approach to these topics, equipping students with the skills and knowledge necessary to contribute to the rapidly evolving field of biomedical applications.

In conclusion, Applied Artificial Intelligence: A Biomedical Perspective is a groundbreaking work that offers a comprehensive perspective on the advancements and future challenges in biomedical application developments. By leveraging breakthrough technologies such as AI, IoT, and signal processing, the book provides valuable insights into the potential of these technologies to revolutionize healthcare and other related fields. Whether you are a researcher, industry professional, faculty member, or student, this book is an essential resource for staying at the forefront of this rapidly evolving field.

Weight: 920g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032349145