Imaging Informatics

Natural language processing (NLP) could help radiology providers anticipate fluctuations in demand and provide faster patient care, according to a new study published in the Journal of the American College of Radiology.

Analytics-driven worklists can help entire groups of radiologists achieve faster MRI interpretation times, according to new research published in the American Journal of Roentgenology.

Numerous studies have shown that clinical decision support (CDS) can help reduce unnecessary imaging. According to a new study in the American Journal of Roentgenology, however, not enough research has focused on how CDS tools impact less experienced providers such as house staff physicians.

Researchers in Europe have developed an open-source, ready-to-use radiomics calculator based on a burgeoning international standard for radiologists looking to quantify tumor characteristics on CT at the level of molecular biomarkers.   

RBJ asked for—and received—in-depth answers to six high-level questions about data analytics. What all these Q&A sets have in common is the supplying of a fresh insight or two (or three) into tapping data for its power to prove value and bolster the bottom line.

Speech recognition has become a staple software category in radiology over the past three decades, and other medical specialties have adopted it as well. Yet efforts to assess the toolset’s applications and adaptations have been frustrated by the lack of a unified set of metrics.

Middle-aged smokers have smaller gray-matter volumes than their non-smoking peers, and the falloff is especially pronounced in the brains of smokers who also drink alcohol.

The Global Diagnostic Imaging Healthcare IT & Radiation Therapy Trade Association (DITTA) has published a new white paper on cybersecurity, providing medical technology manufacturers with a list of recommended best practices.

Flywheel, a Minneapolis, Minnesota-based research informatics company, has announced a new partnership with Google Cloud to provide researchers an increased selection of solutions through its platform.

If you’ve seen one data center, you’ve seen them all. That’s what Charles Rivers believed, at least.

Like every American academic healthcare institution, SUNY Downstate Medical Center in Brooklyn, N.Y., is a beehive of activity in three overlapping yet distinct areas of focus—patient care, physician education and medical research. 

Researchers have demonstrated the use of natural language processing (NLP) to identify urinary-tract stones in positive radiology reports on CT scans of the kidneys, ureter and bladder.