Prior to implementation, only 2% of reports for dangerous AAAs included follow-up recommendations, but that number jumped to 58% afterward, experts wrote in JACR. 

Deep neural networks are capable of tying oncological findings from genetic testing with those from medical imaging and biopsy analysis to not only validate previously discovered connections among and between the three fields but also uncover new ones.  

Yale researchers conducted a "secret shopper" survey of more than 80 top U.S. hospitals for their special report, published in Radiology.

Double reading, optimizing image quality, and improving positioning are all ways to potentially address these misses, experts wrote in Academic Radiology. 

The American College of Radiology announced its dose index registry project recently in JACR.

The project will pilot scanners across multiple healthcare organizations, along with AI, voice recognition, and other capabilities.

The new descriptions apply to eight total classification regulations, including three that are specific to imaging.

Unclear terms, report structure, and general confusion topped imaging-focused questions posted to online forums.