A convolutional neural network has achieved 99.67% accuracy at flagging the presence of pacemakers on chest radiographs in patients referred for MRI.

A Danish healthtech company has been cleared for European sales of AI software aimed at helping trauma physicians detect and classify fractures.

“More than most companies, Toyota is led from the bottom up as much as from the top down.”

Upon commissioning a business process improvement team to meticulously track interpretative uptime, a 13-radiologist group learned its members had been spending nearly as many hours navigating interruptions as reading images.

The capability could allow immediate alerting of CT technologists, who would adjust scan protocols or re-scan patients to optimize image quality prior to physician interpretation.

Radiologists across Europe have been finding AI algorithms useful for improving efficiency at some tasks—yet, overall, few have received AI-attributable workload relief.

A small medtech outfit in North Carolina is opening its trove of medical imaging datasets to academic researchers working to develop AI applications for healthcare.

There’s no shortage of educational resources for teaching radiologists at all learning levels the principles and particulars of medical AI, but the need for radiology-specific materials is pronounced, according to a study published June 23.