When Anthem implemented its new policy to push outpatient imaging not deemed medically necessary out of hospitals earlier this year in several states, many thought leaders within the industry spoke out in anger while others had more of a “wait and see” approach. Now, in a recent editorial in the Journal of the American College of Radiology, the chair of the ACR Board of Chancellors, James A. Brink, MD, has written about the controversial policy, noting that it has created a potential rift within the industry.

During a 2016 simulation exercise, researchers evaluated the ability of 32 different deep learning algorithms to detect lymph node metastases in patients with breast cancer. Each algorithm’s performance was then compared to that of a panel of 11 pathologists with time constraint (WTC). Overall, the team found that seven of the algorithms outperformed the panel of pathologists, publishing an in-depth analysis in JAMA.

Radiologists have minimal direct contact with patients, but steps within the industry are being taken to change that.

It’s the hottest topic in radiology right now: What kind of impact will artificial intelligence and machine learning have on the specialty’s future? According to a recent opinion piece published in the Journal of the American College of Radiology, imaging leaders should start worrying less about robots replacing radiologists and more about why radiologists are being treated as if they are already robots.

When patients go online for information on breast cancer and mammography, what do they want to know? A team of researchers from New York University Langone Hospital in Brooklyn and the department of radiology at the New York University School of Medicine in New York City examined this very question, publishing findings in the Journal of the American College of Radiology.