The perennial neurology classic, updated and expanded
The sixth edition of Duus' classic Topical Diagnosis in Neurology builds on the clear, integrated presentation of anatomy, function, and disorders of the central nervous system that made it a success for almost over five decades, serving as a quick reference for practitioners and trainees alike. It elucidates the neuroanatomical pathways that lead to specific clinical syndromes, and demonstrates how comprehensive anatomical knowledge combined with a thorough neurological examination can help localize and categorize a lesion and arrive at a differential diagnosis.
The time-tested logical, thematic structure with useful summaries, at the beginning of each chapter, and color-coded section headings enable readers to distinguish neuroanatomical from clinical material at a glance and enable efficient and time saving study.
Features of the sixth edition:
New tables and clinical case examples
Improved descriptions of neuroanatomical/neurophysiological basics in the context of clinical symptoms
Twenty-three new illustrations, to a total of more than 400 illustrations
A wide range of study aids and clinical correlations that support the emphasis on integrative medicine in the current medical school curricula
Topical Diagnosis in Neurology is an ideal reference for neurologists and neuroscientists who correlate neurological diseases with anatomical location to arrive at a diagnosis or understand a clinical syndrome. It is also an essential tool for trainees and advanced students who need a solid grounding in key neurofunctional relationships.
This book includes complimentary access to a digital copy on https: //medone.thieme.com.
Описание: A new, larger format highlights full-color anatomy and cutting-edge science for every generation of medical professionals The fifth edition of Duus' classic title Topical Diagnosis in Neurology continues to provide a clear, integrated presentation of anatomy, function, and disorders of the central nervous system and serves as a quick reference for practitioners and trainees alike. It elucidates the neuroanatomical pathways that lead to specific clinical syndromes, and demonstrates how solid anatomical knowledge combined with a thorough neurological examination can help localize a lesion and arrive at a diagnosis. Features of the fifth edition: o A modern, integrated, and interdisciplinary approach to topical neurological diagnosis, showing how knowledge of basic neuroanatomy and neurophysiology can be applied in the clinical setting o An enlarged page design that showcases more than 400 detailed anatomical illustrations including CT and MRI images of the highest quality o A logical, thematic structure, with useful summaries at the beginning of each chapter and color-coded section headings that enable readers to distinguish between neuroanatomical and clinical material at a glance o A collection of updated case studies, state-of-the-art imaging examples, and a new introduction to the principle components of the nervous system o A wide range of study aids and clinical correlations that support the emphasis on integrative medicine in the current medical school curriculum Topical Diagnosis in Neurology is an ideal reference for neurologists and neuroscientists who correlate neurological diseases to anatomical location in order to complete a diagnosis or understand a clinical syndrome. It is also an essential tool for trainees and advanced students who need a solid grounding in key neurofunctional relationships. Mathias Baehr, MD, is Professor and Chairman of the Department of Neurology, University of Gttingen, Gttingen, Germany. Michael Frotscher, MD, is Hertie Senior Research Professor for Neuroscience and Chairman Department of Structural Neurobiology, Center for Molecular Neurobiology, Hamburg (ZMNH), University of Hamburg, Hamburg, Germany.
Описание: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
Автор: Bao Le Nguyen, Deepak Gupta, Siddhartha Bhattacharyya, Utku Kose Название: Artificial Intelligence for Data-Driven Medical Diagnosis ISBN: 3110667819 ISBN-13(EAN): 9783110667813 Издательство: Walter de Gruyter Рейтинг: Цена: 21190.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
Автор: Alex Lui, Anna Farzinder, Mingboo Gong Название: Transforming Healthcare with Big Data and AI ISBN: 1641138971 ISBN-13(EAN): 9781641138970 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.
This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.
Автор: Sabatine Marc Название: Pocket Medicine 7E INT ED ISBN: 197515004X ISBN-13(EAN): 9781975150044 Издательство: Lippincott Williams & Wilkins Рейтинг: Цена: 5663.00 р. Наличие на складе: Поставка под заказ.
Описание: The flagship volume in the popular Pocket Notebook series , Pocket Medicine, 7th Edition , is a must-have resource for fast answers to diagnostic questions you’ll face on rounds and exams. It provides up-to-date, dependable guidance on the internal medicine information needed to make an accurate diagnosis and develop a treatment plan. Compiled by residents and attending physicians at Massachusetts General Hospital, this best-selling reference ensures that quick access to key clinical information and solutions to common problems in internal medicine is as close as your pocket! The thoroughly revised 7th Edition offers: Easy access to essential information on the most common disorders in cardiology, pulmonary medicine, gastroenterology, nephrology, hematology-oncology, infectious diseases, endocrinology, rheumatology, and neurology Focused coverage in a highly templated format, including bulleted lists, abbreviations, symbols, tables, and algorithms References to landmark papers to help you intelligently answer questions from attendings and residents – all from a trusted source acceptable for use on rounds User-friendly tabs and a 2-color design to help you find information quickly Ideal coverage for medical students, interns, residents, advanced practice nurses, PAs, and candidates reviewing for internal medicine board exams.
Название: Medical applications of artificial intelligence ISBN: 1138072273 ISBN-13(EAN): 9781138072275 Издательство: Taylor&Francis Рейтинг: Цена: 11789.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must develop hybrid systems that can effectively and efficiently integrate the experience of medical care professionals with capabilities of AI systems.
After providing a general overview of artificial intelligence concepts, tools, and techniques, Medical Applications of Artificial Intelligence reviews the research, focusing on state-of-the-art projects in the field. The book captures the breadth and depth of the medical applications of artificial intelligence, exploring new developments and persistent challenges.
Автор: Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg Название: Advancement of Artificial Intelligence in Healthcare Engineering ISBN: 179982120X ISBN-13(EAN): 9781799821205 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 39640.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. The book features a range of topics such as genetic algorithms, mobile robotics, and neuroinformatics.
Описание: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
Автор: Kalaivani Anbarasan Название: AI Innovation in Medical Imaging Diagnostics ISBN: 1799830926 ISBN-13(EAN): 9781799830924 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 55024.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Anastasius S. Moumtzoglou Название: Quality Assurance in the Era of Individualized Medicine ISBN: 1799823903 ISBN-13(EAN): 9781799823902 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 38254.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Abhay Bansal, Divakar Yadav, Jorge Morato, Madhulika Bhatia, Madhurima Hooda Название: Diagnostic Applications of Health Intelligence and Surveillance Systems ISBN: 1799865274 ISBN-13(EAN): 9781799865278 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 45461.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Examines recent studies that are driving artificial intelligence in the health sector and helping practitioners to predict and diagnose diseases. Chapters focus on health intelligence and how health surveillance data can be made useful and meaningful.
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