Diagnostic certainty phrases (DCPs) are common in radiology reports, helping the radiologist convey certainty in an imaging finding or its clinical significance. According to a new study published in Academic Radiology, however, radiologists use a wide variety of DCPs, and reducing this variation could improve the overall quality of radiology reports.

Point-of-care photographs obtained at the same time as medical imaging studies can be helpful for radiology providers. According to a new perspective piece published in the American Journal of Roentgenology, however, specialists should still make sure they do their homework before using such photographs in their practice.

Radiologist Paul Chang, MD, medical director of enterprise imaging at the University of Chicago, began his presentation Tuesday, Nov. 27, at RSNA 2018 by saying radiologists were in need of a reality check when it comes to artificial intelligence (AI).

Medical imaging equipment is highly susceptible to cyberattacks, putting hospitals and imaging centers at a serious risk of losing functionality of those systems and even having data stolen by an outside entity. This concerning issue is the focus of two studies being presented at RSNA 2018 in Chicago.

Monthly conference compliance reviews could improve unprompted adverse event (AE) reporting among interventional radiologists, according to a Penn Medicine study published Nov. 20 in the Journal of the American College of Radiology.

Providing high-quality customer service is a key component of any business strategy. After all, if your customers aren’t happy, why would they ever use your services again or recommend you to a friend?

With RSNA 2018 rapidly approaching, Signify Research has published a new report on the trends expected to steal the show. And, yes, artificial intelligence (AI) seems like an obvious choice for No. 1, but the report suggests another top trend: efficiency.

ROCHESTER, N.Y.— Carestream’s latest generation of radiology reporting is taking an impressive step forward with the integration of multimedia content such as graphs, tables, images and hyperlinks. These elements add value to traditional reports while boosting productivity and collaboration among healthcare providers. Machine vision algorithms also enhance the reporting process and increase radiologists’ efficiency by providing tools that can help detect, measure and diagnose abnormalities.