Disruptive Developments In Biomedical Applications

This book covers advancements and future challenges in biomedical application development using disruptive technologies like artificial intelligence (AI), the Internet of Things (IoT), and signal processing. The book is divided into four main sections, namely, medical image processing using AI; IoT and biomedical devices; biomedical signal processing; and electronic health records, including advances in biomedical systems. It includes different case studies of biomedical applications using different AI algorithms related to diabetes, skin cancer, breast cancer, cervical cancer, and osteoarthritis. Features: Covers different technologies like AI, IoT, and signal processing in the context of biomedical applications. Reviews medical image analysis, disease detection, and prediction. Comprehends the advantage of recent technologies for medical record keeping through electronic health records (EHRs). Presents state-of-the-art research in the field of biomedical engineering using various physiological signals. Explores different bio sensors used in healthcare applications using IOT. This book is aimed at graduate students and researchers in AI, medical imaging, biomedical engineering, and IoT.

The book highlights recent developments in the field of biomedical systems covering a wide range of technological aspects, methods, systems and instrumentation techniques for diagnosis, monitoring, treatment, and assistance. Biomedical systems are becoming increasingly important in medicine and in special areas of application such as supporting people with disabilities and under pandemic conditions. They provide a solid basis for supporting people and improving their health care. As such, the book offers a key reference guide about novel medical systems for students, engineers, designers, and technicians.

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.

Rapid technological developments in the last century have brought the field of biomedical engineering into a totally new realm. Breakthroughs in materials science, imaging, electronics and, more recently, the information age have improved our understanding of the human body. As a result, the field of biomedical engineering is thriving, with innovations that aim to improve the quality and reduce the cost of medical care. This book is the second in a series of three that will present recent trends in biomedical engineering, with a particular focus on materials science in biomedical engineering, including developments in alloys, nanomaterials and polymer technologies.

This book coherently presents the advances in technological principles, processes, and methods of Additive Manufacturing (AM), Augmented reality (AR), and Internet of things (IoT) in biomedical technology. It offers an overview of these high-impact technologies in terms of materials, processes, and in-situ monitoring of fabricating biomedical devices, implants, and prosthetics. Furthermore, the book also aimed to cover pedagogical applications, including the design and development of high-fidelity anatomical and hybrid physiological human models, for medical and design students and clinicians for learning, understanding, and gaining insights into the structures and functions of human organs and pathology. In turn, the book also discusses the applications of artificial intelligence in the 3-D printing of pharmaceuticals. This book is a useful resource for manufacturers, scientists, engineers, and young research scholars understand disruptive technology's real potential in biomedical applications.

Biomedical Engineering is a highly interdisciplinary and well established discipline spanning across engineering, medicine and biology. A single definition of Biomedical Engineering is hardly unanimously accepted but it is often easier to identify what activities are included in it. This volume collects works on recent advances in Biomedical Engineering and provides a bird-view on a very broad field, ranging from purely theoretical frameworks to clinical applications and from diagnosis to treatment.

An integrated interdisciplinary approach to address complex computer aided diagnosis problems and limitations. Elucidates a rich summary of the state-of-the-art tools and techniques related to automated detection and diagnosis of life threatening diseases including pandemics. Machine learning and deep learning methodologies on evolving accurate and precise early detection and medical diagnosis systems. Information presented in an accessible way for students, researchers and medical practitioners.

Advances In Smart Coatings And Thin Films For Future Industrial and Biomedical Engineering Applications discusses in detail, the recent trends in designing, fabricating and manufacturing of smart coatings and thin films for future high-tech. industrial applications related to transportation, aerospace and biomedical engineering. Chapters cover fundamental aspects and diverse approaches used to fabricate smart self-healing anti-corrosion coatings, shape-memory coatings, polymeric and nano-bio-ceramic cotings, bio-inspired and stimuli-responsive coatings for smart surfaces with antibacterial activkity and controlled wettability, and electrically conductive coatings and their emerging applications. With the emphasis on advanced methodologies and recent emerging applications of smart multifunctional coatings and thin films, this book is essential reading for materials scientists and rsearchers working in chemical sciences, advanced materials, sensors, pharmaceutical and biomedical engineering. Discusses the most recent advances and innovations in smart multifunctional coatings and thin films in the transportation, aerospace and biomedical engineering industries Highlights the synthesis methods, processing, testing and characterization of smart coatings and thin films Reviews the current prospects and future trends within the industry