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.
Автор: Mathias Baehr, Michael Frotscher Название: Topical Diagnosis in Neurology: Anatomy, Physiology, Signs, Symptoms,5 ed. ISBN: 3136128052 ISBN-13(EAN): 9783136128053 Издательство: Thieme Verlagsgruppe Рейтинг: Цена: 60550.00 T Наличие на складе: Нет в наличии. 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.
Автор: Millington, Ian, Funge, John Название: Artificial Intelligence for Games ISBN: 0123747317 ISBN-13(EAN): 9780123747310 Издательство: Taylor&Francis Рейтинг: Цена: 72470.00 T Наличие на складе: Нет в наличии. Описание: Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques.<br><br>"Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games). <br><br>* The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience.<br>* Walks through the entire development process from beginning to end.<br>* Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.
Автор: Bohr, Adam Название: Artificial Intelligence In Healthcare ISBN: 0128184388 ISBN-13(EAN): 9780128184387 Издательство: Elsevier Science Рейтинг: Цена: 110030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Artificial Intelligence in Healthcare Data is more than a comprehensive introduction to artificial intelligence and machine learning. The book is split into two sections with an introduction to current healthcare data challenges that is followed by specific applications and case studies. The editors explore how AI is used as a tool in the analysis of healthcare data, specifically focusing on machine learning, deep learning, natural language processing. data privacy, cybersecurity and the ethics. Other sections explore how AI tools can help to interrogate data across a range of healthcare applications, including AI driven wearables and sensors and AI assisted surgery.
This book will be useful for researchers, graduate students and practitioners in computer science, data science, bioinformatics, health informatics, biomedical engineering and clinical engineering.
Автор: David D. Luxton Название: Artificial Intelligence in Behavioral and Mental Health Care ISBN: 0124202489 ISBN-13(EAN): 9780124202481 Издательство: Elsevier Science Рейтинг: Цена: 61750.00 T Наличие на складе: Поставка под заказ. Описание:
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy.
In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering.
This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source.
Автор: Kenji Suzuki; Yisong Chen Название: Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging ISBN: 3319688421 ISBN-13(EAN): 9783319688428 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: 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: 47130.00 T 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.
Название: Medical applications of artificial intelligence ISBN: 1138072273 ISBN-13(EAN): 9781138072275 Издательство: Taylor&Francis Рейтинг: Цена: 78590.00 T 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: 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: 141270.00 T 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: 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: 264270.00 T 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.
Автор: Sabatine Marc Название: Pocket Medicine 7E INT ED ISBN: 197515004X ISBN-13(EAN): 9781975150044 Издательство: Lippincott Williams & Wilkins Рейтинг: Цена: 37750.00 T 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.
Автор: Kenji Suzuki; Yisong Chen Название: Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging ISBN: 3319886665 ISBN-13(EAN): 9783319886664 Издательство: Springer Рейтинг: Цена: 107130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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