This volume of the new series, "Medical Radiology" addresses the important topic of "Innovations in Diagnostic Radiology". It presents examples of current work of interest not only to the radiological community but to physicians in other medical disciplines and to scientists in general. The impact of radiology on diagnostic medicine and patient management has been obvious from the beginning of our specialty. However, the evolution of the field is expanding at an astounding rate. During the professional lifetime of one generation of radiologists alone, numerous technologies and procedures have been added to conven tional radiography: cross sectional tomography, high resolution nuclear scanning, mag netic resonance imaging, ultrasound, interventional radiology and computer based radi ological operations. The optimal interpretation of images obtained by these new technologies requires that we expand our knowledge in physiology, biochemistry and also in our clinical expertise. It also means that radiologists must collaborate closely with other clinicians and basic scientists.

Nearly 20 million nuclear medicine procedures are carried out each year in the United States alone to diagnose and treat cancers, cardiovascular disease, and certain neurological disorders. Many of the advancements in nuclear medicine have been the result of research investments made during the past 50 years where these procedures are now a routine part of clinical care. Although nuclear medicine plays an important role in biomedical research and disease management, its promise is only beginning to be realized. Advancing Nuclear Medicine Through Innovation highlights the exciting emerging opportunities in nuclear medicine, which include assessing the efficacy of new drugs in development, individualizing treatment to the patient, and understanding the biology of human diseases. Health care and pharmaceutical professionals will be most interested in this book's examination of the challenges the field faces and its recommendations for ways to reduce these impediments.

Evidence suggests that medical innovation is becoming increasingly dependent on interdisciplinary research and on the crossing of institutional boundaries. This volume focuses on the conditions governing the supply of new medical technologies and suggest that the boundaries between disciplines, institutions, and the private and public sectors have been redrawn and reshaped. Individual essays explore the nature, organization, and management of interdisciplinary R&D in medicine; the introduction into clinical practice of the laser, endoscopic innovations, cochlear implantation, cardiovascular imaging technologies, and synthetic insulin; the division of innovating labor in biotechnology; the government- industry-university interface; perspectives on industrial R&D management; and the growing intertwining of the public and proprietary in medical technology.

The series "Medical Radiology - Diagnostic Imaging and Radiation Oncology" is the successor to the well known "Encyclopedia of Medical RadiologyjHandbuch der medizinischen Radiologie". This international handbook with its unique compila tion of data in more than fifty volumes lags behind the fast developing knowledge in radiology today. "Medical Radiology" brings the state of the art on special topics in a timely fashion. The first volume of the series was "Lung cancer", edited by Scarantino. This volume "Innovation in Radiation Oncology", edited by H.R. Withers and L.J. Peters, presents data on the development of new therapeutic strategies in different oncologic diseases. 57 authors wrote 32 chapters covering a broad range of topics. The innovations are at various levels of development, but were all chosen with the practicing radiation oncologist in mind. Perhaps not all of the innovations will survive the test of time, others have now become well established standard procedure in some centers. Also discussed is the assessment of the effectiveness of standard treat ment and how it effects the quality of a patient's survival. The contributions have been grouped into 9 broad sections as outlined in the table of contents. We think the second volume, as the whole series, will provide valuable reading for the general community of radiation oncologists.

The series "Medical Radiology - Diagnostic Imaging and Radiation Oncology" is the successor to the well known "Encyclopedia of Medical RadiologyjHandbuch der medizinischen Radiologie". This international handbook with its unique compila tion of data in more than fifty volumes lags behind the fast developing knowledge in radiology today. "Medical Radiology" brings the state of the art on special topics in a timely fashion. The first volume of the series was "Lung cancer", edited by Scarantino. This volume "Innovation in Radiation Oncology", edited by H.R. Withers and L.J. Peters, presents data on the development of new therapeutic strategies in different oncologic diseases. 57 authors wrote 32 chapters covering a broad range of topics. The innovations are at various levels of development, but were all chosen with the practicing radiation oncologist in mind. Perhaps not all of the innovations will survive the test of time, others have now become well established standard procedure in some centers. Also discussed is the assessment of the effectiveness of standard treat ment and how it effects the quality of a patient's survival. The contributions have been grouped into 9 broad sections as outlined in the table of contents. We think the second volume, as the whole series, will provide valuable reading for the general community of radiation oncologists.

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.