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.

The Food & Drug Administration has drafted guidelines to help U.S. healthcare better prepare for and respond to events associated with these situations.

A multidisciplinary panel convened by the ACR has developed a set of quality measures aimed at boosting rates of appropriate follow-up care for patients with noncritical but actionable incidental findings.

Computer-aided detection boosted by AI has often proven superior to traditional CAD over the past decade, yet the “new way” has been slow to win broad adoption.