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.

Ambra Health, makers of the leading cloud-based, medical image management suite, today announced a new collaboration with Google Cloud to advance healthcare research with anonymized medical imaging data.

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.

The idea of implementing a “deconstructed PACS”—using multiple vendors for key solutions such as your PACS, VNA and viewers—was gaining huge momentum among imaging providers as recently as a few years ago. Now, however, providers are moving away from a best-of-breed approach to its imaging solutions and embracing a single-source approach.

Researchers from Stanford University have determined that convolutional neural networks (CNNs) trained with just 20,000 labeled images can accurately classify chest x-rays as either normal or abnormal, according to a new study published Nov. 13 in Radiology.