Researchers have found that high-dose radiation therapy can improve survival for oligometastatic patients, according to findings to be presented at the 2018 Annual Meeting of the American Society for Radiation Oncology (ASTRO).
The FDA's Center for Devices and Radiological Health and the Department of Homeland Security's (DHS's) Office of Cybersecurity and Communications announced that they will engage in a collaborative partnership to address medical device cybersecurity by coordinating and sharing information.
Pediatric radiologists experience significant burnout, according to a new study published in the Journal of the American College of Radiology (JACR). With resident interest in pediatric radiology already declining, what does this mean for the specialty going forward?
The American Society of Radiologic Technologists (ASRT) has announced it will donate $5,000 to the American Red Cross Hurricane Michael Relief Fund to help with ongoing relief efforts.
In spite of guidelines recommending against routine x-rays for infants diagnosed with bronchitis, new analysis of emergency department visits in the United States suggests there has been no decrease in x-ray utilization.
Decision support (DS) systems based on artificial intelligence (AI) can improve the diagnostic performance of radiologists, but what’s the best way to integrate those DS systems into a reader’s workflow? Researchers tested two different reading methodologies, sharing their findings in the Journal of Digital Imaging.
Many women—including insured women with full-time jobs—face significant out-of-pocket costs after being diagnosed with breast cancer. It leads to many hard-to-answer questions: What should they do? Who can they turn to for help?
The Massachusetts Institute of Technology (MIT) announced a $1 billion commitment to “address the global opportunities and challenges presented by the prevalence of computing and the rise of artificial intelligence (AI).”
Constance D. Lehman, MD, PhD. Photo Courtesy: Radiological Society of North America
Researchers from Massachusetts General Hospital (MGH) and Harvard Medical School developed a deep learning (DL) model that measures breast density “at the level of an experienced mammographer.” Results of the study were published in Radiology.
William Hsu, PhD, an associate professor of radiological sciences at UCLA, is the first deputy editor of RSNA’s new online journal, Radiology: Artificial Intelligence.
