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.

A recurrent neural network (RNN) can be trained to automatically classify important findings in unstructured radiology reports, 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.

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.

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.

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.

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. 

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.

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