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.

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.

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. 

A decision support tool can help physicians better diagnose bladder cancer treatment response on CT, according to an Nov. 10 study published in Academic Radiology.

Implementing locally developed appropriate use criteria (AUC) as clinical decision support (CDS) could help reduce unnecessary imaging for emergency department (ED) patients with renal colic, according to new research published in the American Journal of Roentgenology.

Wikipedia contains a significant number of articles and images that could be incorporated into the Patient-Oriented Radiology Reporter (PORTER) initiative, according to new research published in the Journal of Digital Imaging. This could then help patients understand the information included in their radiology reports.