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Bioethics
Legal/Ethics
Goldman's Cecil Medicine E-Book
Stay on the cutting edge with the newly revised eBook of Goldman’s Cecil Medicine, with over 400 updates personally selected by Dr. Lee Goldman and integrated directly into each chapter. Since 1927, Goldman’s Cecil Medicine has been the world’s most influential internal medicine resource and now in its 24th edition, continues to set the standard for all other references of its kind. Edited by Lee Goldman, MD and Andrew I. Schafer, MD, this is quite simply the fastest and best place to find all of the definitive, state-of-the-art clinical answers you need to understand, diagnosis, or treat essentially anything you are going to encounter. At your fingertips, you'll find authoritative, un...
Outpatient Medicine
The 2nd Edition of this practical reference provides current answers to over 200 of the most common clinical questions encountered in general outpatient medicine. Arranged by organ system, each section provides pertinent information on screening for diseases, approaches to common symptoms, specific problems and syndromes, and office procedures. Concise reviews with fresh insights into typical ambulatory problems are supplemented by tables and algorithms where appropriate. Drug tables include both recommended dose and comparative cost. New to this edition are chapters on Lyme disease and advanced care planning.
Revolutionising Medical Imaging with Computer Vision and Artificial Intelligence
This collection aims to explore the transformative potential of computer vision and artificial intelligence (AI) in revolutionizing medical imaging. Medical imaging is still in a state of infancy. The interpretation of medical images is often time-consuming and subject to human error. By leveraging computer vision algorithms and AI technologies, medical imaging can be enhanced with automated analysis, pattern recognition, and predictive modelling, leading to improved accuracy, speed, and clinical outcomes. This collection provides an overview of the current state, challenges, and prospects of integrating computer vision and AI techniques into existing medical imaging technologies. Medical imaging has the potential to create a paradigm shift in healthcare in future enhancing diagnostic accuracy, personalised treatment, and overall patient care. While challenges related to data quality, interpretability, and ethics must be navigated, the future for AI based imaging technology is bright.
The AHA Guidelines and Scientific Statements Handbook
Society-sanctioned guidelines on care are valuable tools, but accessing key information from the often complicated statements has been a daunting task. Now, practitioners and their institutions have a clear path to successful application of guidelines from the American Heart Association. This book outlines the key AHA guidelines, Statements, and Performance Measures and includes comparisons with the associated European guidelines. This book also has a strong online component, which will alert users who sign up to new updates to the guidelines and other relevant information. It will also have links through to the full guidelines and statements.
Handbook of Matching and Weighting Adjustments for Causal Inference
An observational study infers the effects caused by a treatment, policy, program, intervention, or exposure in a context in which randomized experimentation is unethical or impractical. One task in an observational study is to adjust for visible pretreatment differences between the treated and control groups. Multivariate matching and weighting are two modern forms of adjustment. This handbook provides a comprehensive survey of the most recent methods of adjustment by matching, weighting, machine learning and their combinations. Three additional chapters introduce the steps from association to causation that follow after adjustments are complete. When used alone, matching and weighting do not use outcome information, so they are part of the design of an observational study. When used in conjunction with models for the outcome, matching and weighting may enhance the robustness of model-based adjustments. The book is for researchers in medicine, economics, public health, psychology, epidemiology, public program evaluation, and statistics who examine evidence of the effects on human beings of treatments, policies or exposures.
The Trust Crisis in Healthcare
This is a comprehensive survey of the causes and consequences of declining trust in healthcare, and provides suggestions for its restoration. The authors identify the elements of trust in the environment of modern healthcare, and analyse the sources of mistrust in key areas of medicine.
