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.

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.

Two European studies illustrate opportunities and challenges presented by the growing appeal of point-of-care ultrasound to primary care practices.