One out of every seven radiologist follow-up recommendations contained in imaging reports is not carried out, experts recently reported in JAMA Network Open.

Better risk stratification can improve clinical decision making and better outcomes, experts involved in the study explained in EJR.

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.

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.