Recent advancements in the technology of medical imaging, such as CT and MRI scanners, are making it possible to create more detailed 3D and 4D images. These powerful images require vast amounts of digital data to help with the diagnosis of the patient. Artificial intelligence (AI) must play a vital role in supporting with the analysis of this medical imaging data, but it will only be viable as long as healthcare professionals and AI interact to embrace deep thinking platforms such as automation in the identification of diseases in patients. AI Innovation in Medical Imaging Diagnostics is an essential reference source that examines AI applications in medical imaging that can transform hospitals to become more efficient in the management of patient treatment plans through the production of faster imaging and the reduction of radiation dosages through the PET and SPECT imaging modalities. The book also explores how data clusters from these images can be translated into small data packages that can be accessed by healthcare departments to give a real-time insight into patient care and required interventions. Featuring research on topics such as assistive healthcare, cancer detection, and machine learning, this book is ideally designed for healthcare administrators, radiologists, data analysts, computer science professionals, medical imaging specialists, diagnosticians, medical professionals, researchers, and students.

Titles in the Pocket Tutor series give practical guidance on subjects that medical students and foundation doctors need help with ‘on the go’, at a highly-affordable price that puts them within reach of those rotating through modular courses or working on attachment.  Topics reflect information needs stemming from today’s integrated undergraduate and foundation courses: Common presentations Investigation options (e.g. ECG, imaging) Clinical and patient-orientated skills (e.g. examinations, history-taking) The highly-structured, bite-size content helps novices combat the ‘fear factor’ associated with day-to-day clinical training, and provides a detailed resource that students and junior doctors can carry in their pocket.   Key points New edition of the best-selling title that breaks down a complex and daunting subject using clearly-labelled, full-page ECG traces and concise but informative text Revised text and brand-new ECG traces bring the new edition fully up-to-date New chapters cover electrolyte and homeostatic disorders, and normal variants Logical, sequential content: relevant basic science, then a guide to understanding a normal ECG and the building blocks of an abnormal ECG, before describing clinical disorders

This is an interdisciplinary book that presents the applications of novel laser spectroscopy and imaging techniques for the detection of cancers recently developed by some of the world's most renown researchers. The book consists of three parts and a total of 16 chapters. Each chapter is written by leading experts who are actively seeking to develop novel spectroscopic and analytical methods for cancer detection and diagnosis.In Part I, the authors present fundamentals on optics, atoms and molecules, biophysics, cancer and machine learning. These chapters are intended for those who are not experts in the field but wish to learn about fundamentals' aspects of some of the key topics that are addressed in this book. Particular attention has been given to providing key references for those who wish to go further into the fundamental aspects of atoms and molecules, light-matter interaction, optical instrumentation, machine learning and cancer.In Part II, the authors present key applications of various laser spectroscopic methods in cancer diagnosis. They have provided recent progress in cancer diagnostics obtained by combining laser spectroscopy and machine learning for the analysis of the spectra acquired from biomedical tissues and biofluids.In Part III, the authors present chapters that discuss key developments in the applications of various laser imaging techniques for cancer detection.This is one of the few books that addresses cancer detection and diagnosis using laser spectroscopic and imaging tools with an eye on providing the reader the scientific tools, including machine learning ones.

In the medical field, there is a constant need to improve professionals' abilities to provide prompt and accurate diagnoses. The use of image and pattern recognizing software may provide support to medical professionals and enhance their abilities to properly identify medical issues. Medical Image Processing for Improved Clinical Diagnosis provides emerging research exploring the theoretical and practical aspects of computer-based imaging and applications within healthcare and medicine. Featuring coverage on a broad range of topics such as biomedical imaging, pattern recognition, and medical diagnosis, this book is ideally designed for medical practitioners, students, researchers, and others in the medical and engineering fields seeking current research on the use of images to enhance the accuracy of medical prognosis.

Biophotonic diagnostics/biomedical spectroscopy can revolutionise the medical environment by providing a responsive and objective diagnostic environment. This book aims to explain the fundamentals of the physical techniques used combined with the particular requirements of analysing medical/clinical samples as a resource for any interested party. In addition, it will show the potential of this field for the future of medical science and act as a driver for translation across many different biological problems/questions.

Regular physical exercise is associated with substantial health benefits. Recent evidence not only holds for cardiovascular effects promoting "physical health," but also for the central nervous system believed to promote "brain health." Moderate physical exercise has been found to improve learning, memory, and attentional processing, with recent research indicating that neuroprotective mechanisms and associated plasticity in brain structure and function also benefit. Physical exercise is also known to induce a range of acute or sustained psychophysiological effects, among these mood elevation, stress reduction, anxiolysis, and hypoalgesia. Today, modern functional neuroimaging techniques afford direct measurement of the acute and chronic relation of physical exercise on the human brain, as well as the correlation of the derived physiological in vivo signals with behavioral outcomes recorded during and after exercise. A wide range of imaging techniques have been applied to human exercise research, ranging from electroencephalography (EEG), magnetoencephalography (MEG), near infrared spectroscopy (NIRS), magnetic resonance imaging (MRI) to positron emission tomography (PET). All of these imaging methods provide distinct information, and they differ considerably in terms of spatial and temporal resolution, availability, cost, and associated risks. However, from a "multimodal imaging" perspective, neuroimaging provides an unprecedented potential to unravel the neurobiology of human exercise, covering a wide spectrum ranging from structural plasticity in gray and white matter, network dynamics, global and regional perfusion, evoked neuronal responses to the quantification of neurotransmitter release. The aim of this book is to provide the current state of the human neuroimaging literature in the emerging field of the neurobiological exercise sciences and to outline future applications and directions of research.

This 6 volume set presents a groundbreaking resource in this branch of natural organic compounds and demonstrates how proton nuclear magnetic resonance (NMR) spectroscopy can be manipulated in structures of natural organic compounds. The authors provide the most comprehensive data of 17 kinds amounting to over 10,000 natural organic compounds. The 2nd volume mainly illustrates the molecular formula and structures of saponins.

This book offers an excellent review of the various rheumatological conditions, both common and uncommon, that may present on imaging on a daily basis. The book uses a unique format that will be beneficial for clinicians, radiologists, medical students, and consultant staff. The text is written by both rheumatology and radiology staff to provide a balanced approach. A clinical overview and the common clinical presentations are briefly reviewed for each condition followed by a more detailed discussion of imaging findings produced by the various imaging modalities, including radiographs, ultrasound, MRI, CT, and nuclear medicine. This book details the imaging of normal musculoskeletal anatomy and pathology; discusses image-guided musculoskeletal interventions; and examines disorders such as rheumatoid arthritis, connective tissue disease, osteoarthritis, osteonecrosis, infection-related arthritis, soft tissue calcification, and bone and synovial tumors. Featuring over 600 multi-part, high-resolution images of rheumatic diseases across current imaging modalities, Essential Imaging in Rheumatology offers up-to-date and complete information on the imaging of these disorders. Developed by the authors of Essential Imaging In Rheumatology are three new exciting interactive imaging Apps that enhance the invaluable information provided in the book. Rheumatology and imaging are closely linked specialties particularly with the expansion of the imaging armamentarium available to the rheumatologists in the last decade. Imaging has a strong impact on patient diagnosis, management and outcome, requiring both the rheumatologist and the radiologist to have a clear understanding of pathologies and their variable imaging appearances, differential diagnosis and optimal imaging algorithms. A primary focus of our " Imaging In Rheumatology Edicational Initiative " is to thus to stimulate interest in rheumatological imaging and as such we are delighted to provide a be able to provide our "UnRavelling Spondyloarthropathy" App free. ESIMR: Uncovering The Hand Radiograph iOS https://appsto.re/ca/ydsmfb.i Android https://play.google.com/store/apps/details?id=com.radiologyhand ESIMR: Clinical Case Challenge https://appsto.re/ca/bdsmfb.i https://play.google.com/store/apps/details?id=com.radiologyccc ESIMR: UnRavelling Spondyloarthropathy (Free) https://appsto.re/ca/Tzsmfb.i https://play.google.com/store/apps/details?id=com.radiologyspa