As the relationship between radiology and artificial intelligence (AI) continues to evolve, radiology trainees may find themselves wondering what, exactly, they should know about these groundbreaking technologies. Do they need to be AI experts? Can they just avoid the subject altogether?

Researchers from the University of Cambridge in England have developed a new semi-automatic 3D imaging technique, called joint space mapping (JSM), that detects tiny changes in arthritic joints, sharing their findings in a new study published by Scientific Reports.

Most American nurses put their patients’ health and safety above their own, potentially impacting patient care, one Pennsylvania nurse wrote in the Journal of Radiology Nursing this month.

After a year of soul searching and strategic review, GE announced its move today to spin off GE Healthcare into a standalone company over the next 12 to 18 months. The goal, the company said, is a leaner corporate structure with substantial reductions in debt.

Artificial intelligence (AI) and machine learning often get lumped together, but as the authors of a new Radiology commentary explained, the two terms are far from interchangeable. While machine learning is a specific field of data science that gives computers the ability to “learn” without being programmed with specific rules, AI is a more comprehensive term used to describe computers performing intelligent functions such as problem solving, planning, language processing and, yes, “learning.”

Stella Kang, MD, MSc, was the lead author of a study that determined women who undergo breast cancer screening with mammography are much more likely to utilize other preventive services than unscreened women. She spoke to Radiology Business about the importance of that study and more.

Fast Healthcare Interoperability Resources (FHIR), the interoperability standard developed for the exchange of healthcare information, can dramatically improve patient care, according to a study published in the Journal of Digital Imaging.

Real-time location systems are an effective way to track patient processing and room utilization times noninvasively, as well as offer insight into how radiology practices can run more efficiently, a group of Johns Hopkins researchers report in the current edition of Practical Radiation Oncology.

Management recommendations for high-risk lesions detected by a core needle biopsy of the breast are inconsistent, according to a new study published in Current Problems in Diagnostic Radiology. Could the development of consensus recommendations improve patient care?

The Medical Imaging & Technology Alliance (MITA) released a statement this week about the recently finalized tariffs on $50 billion worth of products imported from China and the June 20 Senate Finance Committee hearing held with U.S. Department of Commerce Secretary Wilbur Ross about the impact of those tariffs.

A federal jury awarded a patient and her husband $15 million after Carmel, Indiana, physicians reportedly failed to identify a life-threatening tumor during a CT scan, the Indianapolis Business Journal has reported.