Against the backdrop of radiologists getting sued for medical negligence after allegedly reading images too hastily, recent years have seen pointed calls for new radiology rules, requirements or regulations.

Diagnostic radiology saw its median compensation rise just 1.6% from 2020 to 2021. On the other hand, interventional radiology enjoyed a 9.9% raise. 

When AI-generated annotations of real-world chest CT images were made available to interpreting radiologists in a randomized prospective study, the assisted rads cut their read times from 421 seconds to 328.

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.

CMS has released its highly anticipated tentative rule for governing the 2023 Medicare Physician Fee Schedule (MPFS). In turn, the American College of Radiology has posted a first-look summary focused on the schedule’s implications for medical imaging.  

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

The FDA is warning patients and referrers about an imaging business near the nation’s capital that has fumbled away its mammography accreditation.

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

Established clinical guidelines hold that patients presenting with ankle issues should not receive advanced imaging ahead of standard radiography. New research shows a substantial proportion of ordering clinicians sending these patients straight to MRI anyway.

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.