“Enterprise imaging” is a term that’s bandied about in healthcare. But what does it actually mean, and is your organization getting the most bang for its buck out of this very important process?

CyberMDX first discovered the issue, noting that it affects more than 100 devices, including CT, US, x-ray and MRI. 

A new JACR analysis provides a roadmap for practice leaders looking to systematically tackle this challenge. 

In a talk during RSNA's annual meeting, one expert urged the specialty to forge its own path, before it's forced to follow others.

Most radiology residents also prefer a more systematized method of sharing their findings, signaling a possible change in future reporting trends. 

The machine learning algorithm works by flagging abnormal, noncontrast exams for intracranial hemorrhage, experts wrote in Radiology: AI. 

Kaiser Permanente’s system works by dividing patients with suspicious nodules into eight separate categories, similar to screening mammography. 

The gains were particularly notable in MRI and conventional radiography and at smaller hospitals, experts reported in Insights into Imaging.