Authors of the JACR paper noted the timeliness of the proposed measures, referring to CMS’ prioritization of measures of patient outcomes.

Comparing six dual-energy CT technologies marketed by three scanner manufacturers, radiology researchers have found all models helpful in determining the chemical composition of kidney stones even at substantially reduced radiation doses.

The Internet is an acceptable source of images for training algorithms to automatically triage patients with dislocated joints and similar orthopedic emergencies. 

As FDA-approved AI software continues to proliferate in radiology—well more than 150 products to date and rising—a trio of Yale radiologists has compiled a status report focused on AI applications available to, specifically, emergency radiology.

AI can safely and accurately identify healthy breast tissue on ultrafast breast MRI, negating the need for a radiologist’s closer look and, in the process, lowering cancer screening costs and widening patient access to breast MRI.

Researchers have developed a novel cardiovascular MRI protocol as an option to the invasive gold standard, endomyocardial biopsy, for monitoring heart-transplant patients at risk of suffering organ rejection.

The reception was similarly warm among parents toward AI used to assess a child’s need for antibiotics or bloodwork.

Radiology researchers have demonstrated the reliability of an AI system they developed to automatically check placement of endotracheal tubes on chest X-rays.