Whereas most books about neurologic examinations are disease and anatomy oriented, The Neurologic Examination: Scientific Basis for Clinical Diagnosis focuses on a pathophysiological approach to the nervous system. The authors emphasize that the scientific interpretation of symptoms obtained from carefully taking the patient's history and noting signs found during physical examination are essential in the diagnosis of neurologic diseases, even if laboratory testing, such as electrophysiology and neuroimaging, are being more widely used. This book aims to provide a bridge from the basic sciences such as anatomy, physiology, pharmacology, and molecular biology to the neurologic symptoms. Neurologic examinations provide the foundation for the diagnosis, and only after a thorough and expertly executed examination can one begin to incorporate laboratory testing and treatment. The Neurologic Examination: Scientific Basis for Clinical Diagnosis, based on the widely successful Japanese book Diagnosis of Neurological Diseases (Igakushoin, Japan, second edition 2013) by Dr. Shibasaki, hopes to revitalize the use of neurologic examinations before jumping straight into laboratory testing. Doing so can help cut down on time, patient and physician anxiety, and unnecessary testing expenses. This book is a must-read for all practicing neurologists, residents, and medical students. Key Features Include * The chapters are arranged in order of the actual steps in a neurologic examination; * Highly illustrated with figures and tables indicative of the neurologic signs and symptoms that may appear during the given step; and * 99 discussion boxes are inserted throughout to provide a more in-depth look at particular topics without interrupting the reading flow of the text.

Here is the Fourth Edition of the classic text Electrodiagnosis in Diseases of Nerve and Muscle. With each subsequent edition, Dr. Kimura has built upon his extensive experience teaching electromyography (EMG) around the world and has transferred his knowledge to the book. It is intended for clinicians who perform electrodiagnostic procedures as an extension of their clinical examination, and will be of value to neurologists and physiatrists who are interested in neuromuscular disorders and noninvasive electrodiagnostic methods, particularly those practicing electromyography (EMG). The book provides a comprehensive review of most peripheral nerve and muscle diseases, including specific techniques and locations for performing each test. While the book has been thoroughly updated to reflect the growth that has been made in the field since 2001, a DVD has also been added to the book, allowing the readers to watch and listen to various types of normal and abnormal EMG activities. The book is designed for those interested in a broad review of electrodiagnostic medicine, especially to those dealing with patients with neuromuscular disorders, who may benefit from a referral for electromyography and nerve conduction studies as part of the clinical practice. It will appeal to those wanting a current update on the subject and those interested in state of the art information and observation of electrophysiologic techniques.

Ideal for clinic use, both for diagnosis and for explaining to the patient, this guide provides: * A quick reference atlas guide to the diagnosis skin lesions, especially, but not limited to, those that are cancerous * Icons for each condition linked to high definition dermoscopy and clinical photographs * Real dermatoscopic images and the associated clinical photographs on the page opposite

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

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.

There is a significant deficiency among contemporary medicine practices reflected by experts making medical decisions for a large proportion of the population for which no or minimal data exists. Fortunately, our capacity to procure and apply such information is rapidly rising. As medicine becomes more individualized, the implementation of health IT and data interoperability become essential components to delivering quality healthcare. Quality Assurance in the Era of Individualized Medicine is a collection of innovative research on the methods and utilization of digital readouts to fashion an individualized therapy instead of a mass-population-directed strategy. While highlighting topics including assistive technologies, patient management, and clinical practices, this book is ideally designed for health professionals, doctors, nurses, hospital management, medical administrators, IT specialists, data scientists, researchers, academicians, and students.

Medical and information communication technology professionals are working to develop robust classification techniques, especially in healthcare data/image analysis, to ensure quick diagnoses and treatments to patients. Without fast and immediate access to healthcare databases and information, medical professionals' success rates and treatment options become limited and fall to disastrous levels. Advanced Classification Techniques for Healthcare Analysis provides emerging insight into classification techniques in delivering quality, accurate, and affordable healthcare, while also discussing the impact health data has on medical treatments. Featuring coverage on a broad range of topics such as early diagnosis, brain-computer interface, metaheuristic algorithms, clustering techniques, learning schemes, and mobile telemedicine, this book is ideal for medical professionals, healthcare administrators, engineers, researchers, academicians, and technology developers seeking current research on furthering information and communication technology that improves patient care.

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.

While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.

The "Diagnostic and Statistical Manual of Mental Disorders," more commonly known as the DSM, is published by the American Psychiatric Association, listing and describing all mental disorders. The publication of DSM-5 in 2013 brought many changes. "Diagnosing the Diagnostic and Statistical Manual of Mental Disorders 5" is written for all those who wonder whether the DSM-5 now classifies the right people in the right way. It is aimed at patients, mental health professionals, and academics with an interest in mental health. Issues addressed include: What are the main changes that have been made to the classification? How is the DSM affected by financial links with the pharmaceutical industry? To what extent were patients involved in revising the classification? How are diagnoses added to the DSM? Does medicalization threaten the idea that anyone is normal? What happens when changes to diagnostic criteria mean that people lose their diagnoses? How important will the DSM be in the future?

Volume62 in the internationally acclaimed "Advances in Clinical Chemistry" contains chapters authored by world renowned clinical laboratory scientists, physicians and research scientists.The serialprovides the latest and most up-to-date technologies related to the field of Clinical Chemistry andis the benchmark for novel analytical approaches in the clinical laboratory.
Expertise of international contributorsLatest cutting-edge technologiesComprehensive in scope"

Volume63 in the internationally acclaimed "Advances in Clinical Chemistry" contains chapters authored by world renowned clinical laboratory scientists, physicians and research scientists.The serialprovides the latest and most up-to-date technologies related to the field of Clinical Chemistry andis the benchmark for novel analytical approaches in the clinical laboratory.
Expertise of international contributorsLatest cutting-edge technologiesComprehensive in scope"

This book highlights both conventional and nanomaterials-based biosensors for the detection of cervical cancers. It describes developments in the selective and sensitive electrochemical biosensors based on DNA for the early diagnosis of cervical cancer. Further, this book covers other nano-biosensing systems such as nano-thermometry-based sensing platforms, mechanical sensing platforms encompassing piezoelectric-based sensors, electrochemical impedance spectroscopy based on PEGylated arginine functionalized magnetic nanoparticles, and field-effect transistor-based platforms for the early detection of cervical cancer. Also, it presents conventional platforms such as vibrational spectroscopy and polymerase chain reaction techniques for the diagnosis of cervical cancer. Finally, it reviews currently available biomarkers for the early diagnosis of cervical cancer and presents strategies for developing novel biomarkers based on cellular and molecular approaches. As such, this book is a comprehensive resource for researchers and clinicians working in cervical cancer diagnostics.