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This is a practical nuts-and-bolts guide that is based on the authors’ experience and success in the Radiology Department at the University of California at San Francisco. Academic chairs, especially those recently appointed, struggle with leadership and management. Many have little prior experience in these areas. The material presented here is practical and specific. Each chapter is independent of the others, and the text can be used mostly as a reference tool. The text deals with the major issues facing academic Radiology leaders. The topics selected were chosen carefully and are based on the authors’ collective years of experience attempting to manage their own department but also consult for many others. The first topic is the balance among the three primary missions of an academic department, namely, clinical care, teaching, and research. These three major missions will be described in some depth, with an effort to provide reference materials that, hopefully, will stand the test of time and remain useful over the years to come. In addition, this text will provide guidance about faculty development, departmental organization, marketing and fundraising, and strategic perspectives. It will be of interest to chairs, departmental administrators, vice-chairs and other departmental leaders, section chiefs, hospital administrators and, of course, consultants.
Practically every radiologist would benefit from an all-encompassing guide to malpractice issues in radiology. Dr. Ronald Eisenberg, a highly respected author in the field, has put together a comprehensive reference to provide radiologists with an introduction to malpractice issues and a basic understanding of their relationships with government regulatory agencies and HMOs. This softcover book will detail the mechanics of a lawsuit, how radiologists can become the object of a malpractice action, and what they can do to minimize potential exposure.
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 relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.
This textbook reviews the technological developments associated with the transition of radiology departments to filmless environments. Each chapter addresses the key topics in current literature with regard to the generation, transfer, interpretation and distribution of images to the medical enterprise. As leaders in the field of computerized medical imaging, the editors and contributors will provide insight into emerging technologies for physicians, administrators, and other interested groups. As health care organizations throughout the world begin to generate filmless implementation strategies, this exhaustive review has proven to be a vital aid to leaders in the development of health care.