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.

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.

Canada has fallen behind other industrialized nations in multiple measures of capital healthcare investment, and the most glaring gap is found in the state of its medical imaging equipment.

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.

Hybrid PET/CT enhanced with intravenous CT contrast deserves wider acceptance and adoption, as diagnostically optimized CT can complement PET—and vice versa—for a variety of potential indications. That’s one opinion on the matter.

Researchers have demonstrated a deep learning model that can correct course for breast radiologists who otherwise may have erroneously deemed tissue dense in screening exams.