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Perioperative Fluid Management
This revised and expanded second edition presents the most recent evidence-based facts on perioperative fluid management and discusses fluid management from basic sciences to clinical applications and the patients’ outcomes. Recent advances in understanding the Revised Starling principle with new concepts in tissue perfusion and the most recent techniques of perioperative goal directed fluid management are described. The endothelial glycocalyx functions and the influence of fluid management on its integrity are covered in detail; moreover, the techniques for its protection are also discussed. The dilemma of perioperative use of hydroxyethyl starch solutions and the resurgence of interest in using human albumin as an alternative colloid is explored. The problems of using unbuffered solutions during the perioperative period and comparison between restrictive versus liberal fluid management are discussed in full. Lastly, case scenarios for every possible clinical situation describe the most up-to-date fluid management for the corresponding clinical problem. Perioperative Fluid Management, Second Edition is of interest to anesthesiologists and also intensivists.
Case Studies in Neuroanesthesia and Neurocritical Care
The anesthetic considerations and procedures involved in the perioperative care of the neurosurgical patient are among the most complex in anesthesiology. The practice of neurosurgery and neuroanesthesiology encompasses a wide range of cases, from major spine surgery, to aneurysm clipping and awake craniotomy. Case Studies in Neuroanesthesia and Neurocritical Care provides a comprehensive view of real-world clinical practice. It contains over 90 case presentations with accompanying focussed discussions, covering the broad range of procedures and monitoring protocols involved in the care of the neurosurgical patient, including preoperative and postoperative care. The book is illustrated throughout with practical algorithms, useful tables and examples of neuroimaging. Written by leading neuroanesthesiologists, neurologists, neuroradiologists and neurosurgeons from the University of Michigan Medical School and the Cleveland Clinic, these clear, concise cases are an excellent way to prepare for specific surgical cases or to aid study for both written and oral board examinations.
Pocket Anesthesia
Part of the popular Pocket Notebook Series, Pocket Anesthesia, Third Edition is a practical, concise guide to anesthetic management of the most common perioperative conditions. Now fully revised and up to date, this portable handbook provides essential information needed by residents, anesthesiologists, CRNAs, and medical students on the wards and in the operating room. The third edition keeps you current with all that’s new in the field, including ACC/AHA guideline changes and new uses of anti-coagulants, stents, and approaches to pain management.
The Machine in Me
Gary Lee Downey investigates the body/machine interface in his remarkable ethnography of computer engineers. Drawing on interviews, observations and personal interaction with engineers, he documents the everyday power of technology's dominant image in our society, a force widely regarded as monolithically progressive. The Machine in Me will lead the reader to understand how deeply connected we are to The Machine and how beneficial it would be for us to really understand ourselves and machines as partially configured of the other--we as part machine, machines as part human. In this way, we can begin to see both the power and limitations of technology.
Translational Application of Artificial Intelligence in Healthcare
In the era of 'Algorithmic Medicine', the integration of Artificial Intelligence (AI) in healthcare holds immense potential to address critical challenges faced by the industry. Drawing upon the expertise and experience of the authors in medicine, data science, medical informatics, administration, and entrepreneurship, this textbook goes beyond theoretical discussions to outline practical steps for transitioning AI from the experimental phase to real-time clinical integration. Using the Translational Science methodology, each chapter of the book concisely and clearly addresses the key issues associated with AI implementation in healthcare. Covering technical, clinical, ethical, regulatory, and legal considerations, the authors present evidence-based solutions and frameworks to overcome these challenges. Engaging case studies and a literature review of peer-reviewed studies and official documents from reputed organizations provide a balanced perspective, bridging the gap between AI research and actual clinical practice.
AI Trends: Navigating the Future
This book offers an advanced, yet accessible, exploration of contemporary AI trends and their implications. AI has transitioned from a niche academic pursuit into a cornerstone of innovation across fields as diverse as healthcare, finance, education, and entertainment. This book seeks to demystify AI by breaking it down into thematic chapters that cover its theoretical foundations, practical applications, and ethical considerations. For policymakers, technologists, educators, and the curious reader, this book provides an invaluable resource. It not only maps the cutting-edge developments in AI but also encourages critical thinking about the opportunities and risks that accompany them. By doi...
Medical Imaging Methods
This book provides insights into current radiology practices in diagnostic imaging, discussing specific features of individual imaging techniques, such as sensitivity, specificity and accuracy and signal-to-noise ratio. It includes chapters on various established imaging methods as well as emerging methods such as EPR imaging, and their applications in the diagnosis of skin cancer, brain tumors, oral diseases and kidney cysts. Adopting a bottom-up approach and presenting the recent trends in a simple manner with the help of examples, the book appeals to a wide audience, including academics, researchers, medical and nursing students, as well as healthcare professionals in the field of imaging and radiology.
Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications
Medical internet of things (IoT)-based applications are being utilized in several industries and have been shown to provide significant advantages to users in critical health applications. Artificial intelligence (AI) plays a key role in the growth and success of medical IoT applications and IoT devices in the medical sector. To enhance revenue, improve competitive advantage, and increase consumer engagement, the use of AI with medical IoT should be encouraged in the healthcare and medical arena. Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications provides greater knowledge of how AI affects healthcare and medical efficacy in order to improve outputs. It focuses on a thorough and comprehensive introduction to machine learning. Covering topics such as patient treatment, cyber-physical systems, and telemedicine, this premier reference source is a dynamic resource for hospital administrators, medical professionals, government officials, students and faculty of higher education, librarians, researchers, and academicians.
The Global Biopolitics of the IUD
The biography of a multifaceted technological object, the IUD, illuminates how political contexts shaped contraceptive development, marketing, use, and users. The intrauterine device (IUD) is used by 150 million women around the world. It is the second most prevalent method of female fertility control in the global South and the third most prevalent in the global North. Over its five decades of use, the IUD has been viewed both as a means for women's reproductive autonomy and as coercive tool of state-imposed population control, as a convenient form of birth control on a par with the pill and as a threat to women's health. In this book, Chikako Takeshita investigates the development, marketi...
