Reviewing a 20-month run with a radiologist-to-technologist communications tool, researchers have found minor problems with image quality 10 times more common than patient callbacks for repeat imaging.

The model was externally validated using more than 1,500 radiographs with real-world incidence of critically misplaced tubes. 

Using CBIRS decreased interpretation times despite the radiologists who utilized them having to review the additional information the system provided.

The news comes as BA.5 has become the dominant subvariant in the United States. Cases, hospitalizations and deaths are all on the rise. 

This week Bayer announced the launch of Calantic Digital Solutions, a suite of applications intended to optimize clinical workflows by triaging and prioritizing critical findings, improving disease detection and automating tasks for radiologists. 

The solution will support Niagara Health’s growing imaging demands and provide efficient workflows to improve diagnostics and patient care within the Niagara region.

Researchers recently revamped the database in the hopes of expanding algorithm development in the field of stroke care. 

In a sampling of 2,273 chest radiographs of kids aged 2 to 18-years-old the AI-based software achieved diagnostic accuracies ranging from 86% to 96.9% for detecting a myriad of pathologies.