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Zusammenfassung: This edited volume encompasses chapters on novel and innovative research in the applications of leading digital technologies in an accessible and engaging way. By utilising cutting edge and ever progressive technology in visualization, it will enhance our understanding and application in our everyday lives. This volume shows how we can use Extended Reality, 3D animations and serious games to benefit the learner, educator, clinician, patient, parent and carer. Visualization techniques like Virtual, Augmented and Mixed Reality and show how they can be utilised to improve training and understanding of anatomy, surgery, and clinical assessment. This is covered specifically for emergency practitioners in enhancing their understanding of ECG's for potential myocardial infarction by using augmented reality. From a translational medicine perspective and pre-operative pediatric surgical planning, the benefits of augmented reality are examined as to what might be found intra-operatively from imaging techniques. Educational applications of digital technologies using serious games and Extended Reality are examined. We show how Mixed Reality can aid understanding in cellular anatomy for our learners and researchers alike. We also show how serious games can have applications in diverse areas like parasite infections and neuroanatomy education and training. Finally, from a clinical perspective, the use of 3D animations and their applications is discussed for vertebral fractures and increasing parent/carer awareness through interactive applications. Also, the use of 3D animations in cerebral magnetic resonance angiography for global education highlights the great benefits of these tools and technologies. There is something for the researcher, clinician, educator, patient, and carer as we explore novel technologies. These are applied locally, nationally and globally as we advance our understanding of the world changing influence that digital technologies have on our day-to-day life
Optical coherence tomography (OCT) is the optical analog of ultrasound imaging and is emerging as a powerful imaging technique that enables non-invasive, in vivo, high resolution, cross-sectional imaging in biological tissue. This book introduces OCT technology and applications not only from an optical and technological viewpoint, but also from biomedical and clinical perspectives. The chapters are written by leading research groups, in a style comprehensible to a broad audience.
This scholarly set of well-harmonized volumes provides indispensable and complete coverage of the exciting and evolving subject of medical imaging systems. Leading experts on the international scene tackle the latest cutting-edge techniques and technologies in an in-depth but eminently clear and readable approach.Complementing and intersecting one another, each volume offers a comprehensive treatment of substantive importance to the subject areas. The chapters, in turn, address topics in a self-contained manner with authoritative introductions, useful summaries, and detailed reference lists. Extensively well-illustrated with figures throughout, the five volumes as a whole achieve a unique depth and breath of coverage.As a cohesive whole or independent of one another, the volumes may be acquired as a set or individually.
New technologies in 3D printing offer innovative capabilities in surgery, from planning complex operations to providing alternatives to traditional training with more cost-effective outcomes. In 3D Printing: Application in Medical Surgery, Volume 2, Drs. Vasileios N. Papadopoulos, Vassilios Tsioukas, and Jasjit S. Suri bring together up-to-date information on 3D printing and its application in surgical specialties such as hebatobilliary and pancreatic surgery, vascular surgery, orthopedic surgery, obstetrics and gynecology, cardiovascular and thoracic surgery, and more. - Discusses challenges and opportunities of 3D printing in the field of surgery. - Covers 3D printing and its application in major surgical subspecialties, as well as dentistry, transplantation, global surgery, and diagnostic and interventional radiology. - Consolidates today's available information on this burgeoning topic into a single convenient resource.
Large databases are created by genomics for the discovery, study, and development of novel treatments all around the world. It's not hard to conceive that artificial intelligence (AI) might currently study the 3 billion base pairs that make up humanoid genetic makeup in order to uncover genetic disparities among the population. By 2026, large pharmaceutical companies hope to have researched up to 2 million genomes and analyzed massive amounts of patient data from clinical drug studies. As new equipment is introduced, AI will be employed in genomics for a variety of omics investigations, including transcriptomics. To aid in the classification of potentially clinically significant genes, AI is used to combine data from genomic research with literature analysis. Machine learning is now a critical component of the genomics industry's growth. AI and Machine learning in genomics is already having an impact on a number of areas, including genetic testing, medical care delivery, and genomics accessibility for people interested in learning more about how their genes influence their health. The purpose of this research is to explore AI and Machine learning applications in gene technology and their roles in paving the way for future genomics machine learning applications.
Edited by foremost leaders in chemical research together with a number of distinguished international authors, Volume 2 presents the most important and promising recent chemical developments in life sciences, neatly summarized in one book. Interdisciplinary and application-oriented, this ready reference focuses on methods and processes with a high practical aspect, covering new trends in drug delivery, in-vivo analysis, structure formation and much more. Of great interest to chemists and life scientists in academia and industry.
This book contains the conference proceedings of ICABCS 2023, a non-profit conference with the objective to provide a platform that allows academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security. It explores the recent advancement in field of Artificial Intelligence, Blockchain, Communication and Security in this digital era for novice to profound knowledge about cutting edges in artificial intelligence, financial, secure transaction, monitoring, real time assistance and security for advanced stage learners/ researchers/ academicians. The key features of this book are: Broad knowledge and research trends in artificial intelligence and blockchain with security and their role in smart living assistance Depiction of system model and architecture for clear picture of AI in real life Discussion on the role of Artificial Intelligence and Blockchain in various real-life problems across sectors including banking, healthcare, navigation, communication, security Explanation of the challenges and opportunities in AI and Blockchain based healthcare, education, banking, and related industries This book will be of great interest to researchers, academicians, undergraduate students, postgraduate students, research scholars, industry professionals, technologists, and entrepreneurs.
Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, and security and surveillance. The aim of this book, ‘Deep Learning for Image Processing Applications’, is to offer concepts from these two areas in the same platform, and the book brings together the shared ideas of professionals from academia and research about problems and solutions relating to the multifaceted aspects of the two disciplines. The first chapter provides an introduction to deep learning, and serves as the basis for much of what follows in the subsequent chapters, which cover subjects including: the application of deep neural networks for image classification; hand gesture recognition in robotics; deep learning techniques for image retrieval; disease detection using deep learning techniques; and the comparative analysis of deep data and big data. The book will be of interest to all those whose work involves the use of deep learning and image processing techniques.
This volume describes concurrent engineering developments that affect or are expected to influence future development of digital diagnostic imaging. It also covers current developments in Picture Archiving and Communications System (PACS) technology, with particular emphasis on integration of emerging imaging technologies into the hospital environment.
This book contains papers presented at the 2nd International Conference on Cognitive based Information Processing and Applications (CIPA) in Changzhou, China, from September 22 to 23, 2022. The book is divided into a 2-volume series and the papers represent the various technological advancements in network information processing, graphics and image processing, medical care, machine learning, smart cities. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and information processing.