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The Radiology Report
An essential resource for medical imaging professionals, this book provides everything you need to create exceptional radiology reports. In an accessible and informal style, one of the foremost experts on radiology reporting gives you practical tips for precise image interpretation and clear communication. This book should be required reading for radiologists in training, and is destined to become an indispensable part of every radiologist's library. Topics include: * The virtues of "normal" * How to say "I don't know" * Building a rhetorical foundation * Spatial relationships * Making recommendations * Suggesting clinical correlation * The hedge * Severity straddling * Size matters * Eponyms in radiology * A summary of reporting best practices * How speech recognition works * Optimizing your speech recognition * Templates and macros * The history of radiology reporting * Structured reporting case study * Structured reporting: what you can do today * Standard terminology for the radiology report * How to think about imaging information * Logic, probability, and the radiology report * Decision making in radiology * The radiology report in 2025
Cancer Informatics
Cancer Informatics chronicles the development of the National Cancer Institute's new Cancer Informatics Infrastructure (CII) - an information management system infrastructure designed to faciliate clinical trials, provide for reliable, secure information exchange, and improve patient care. The book details the challenges involved in creating and managing such a knowledge base, including technologies, standards, and current, state-of-the-art applications. The ultimate goal of CII is to function as an enabler of clinical trials, expediting the clinical trials lifecycle, faciliating faster and safer drug development and more appropriate treatment choices for cancer patients. Contributors address the role the CII must play in converting the growing knowledge of genes, proteins, and pathways into appropriate preventative, diagnostic, and therapeutic measures. Presented in four sections, the first provides an overview of the processes involved in moving the infrastructure for cancer from theory into practice. Sections two through four offer the latest work done in the areas of technology, cancer-specific and national standards, and applications to faciliate clinical trials.
Artificial Intelligence in Medical Imaging
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relat...
The Rules of Radiology
This book gets to the heart of what radiology is and what radiologists do. As a relatively young speciality, there is no guide for radiologists to act as a moral compass. Until now, that is. You will not find any dry technical matters in here. You will not find any clues about how to interpret images better. This book details the ‘other 50%’: the rest of the working week when a radiologist is not reading scans or performing procedures. The essence of radiology is distilled and offered up to the reader. If you want a comfortable read that offers bland reassurances, look elsewhere. If you want a book that questions everything and discusses uncomfortable truths, this is the book for you. Each of the Rules addresses an important part of professional practice. This book is a manifesto for all radiologists across the globe to raise their game, to be more effective and to serve their patients better.
Radiology Structured Reporting Handbook
A practical guide for radiologists on providing high yield disease-specific reports Multiple studies show that referring physicians have a clear preference for structured radiology reports due to clarity and ease of interpretation, yet a one-size-fits all approach does not address disease complexities. Concurrently, the use of structured radiology templates has increased, driven in part by the need to comply with big data and artificial intelligence as well as reimbursement. Standardization of reporting is one of the first essential steps in the transformation of radiology from "the art of imaging" to a robust data science. Radiology Structured Reporting Handbook: Disease-Specific Templates ...
Deep Learning for Coders with fastai and PyTorch
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
SPEED - MSK Radiology
A guide for all radiologists reporting MSK studies. Learn how to improve your speed and how to report more studies faster. In the age of artificial intelligence, this book shows you how to increase your value as a radiologists. The book was not written to teach you MSK, but how to apply your knowledge in a systematic manner to increase your output. Nevertheless, the book is packed with knowledge pearls that the Author acquired during his training in New York (NYU) and Zurich (Balgrist) and from his own research.
Search Pattern: A Systematic Approach to Diagnostic Imaging
Search Pattern is a collection of step-by-step guides to more than a hundred of the most common types of studies in radiology. Blind spots reported in the literature as well as practical wisdom from experts is synthesized into highly structured processes that can guide the development of better practice. Much of the contained insight has never been organized in one place before. Search Pattern covers almost every type of study that a radiologist will encounter in training or practice. This text is written with the assumption that the reader has familiarity with basic radiologic terminology, anatomy, and physics. In the interest of brevity, almost all information outside of the organized approaches is omitted. The reader is encouraged to look up terms, images, and background information from supplementary resources. Formalized teaching of search patterns is a missing part of the educational literature in our field. Hopefully this book helps fill that void. It is one that I would have benefited from greatly when I was a resident.
Basic Sciences for Sustainable Development
The year 2022 has been declared by the United Nations as the "International Year of Basic Sciences for Sustainable Development". Sustainable development is focused on the UN's 17 Sustainable Development Goals. These require the use of basic sciences. This edited book (volume 1) is a collection of twelve invited and peer-reviewed contributions from chemistry, materials science, energy applications, and artificial intelligence.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learnin...
