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.

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.

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

The study's authors noted that LVADs consistently lead to strong outcomes, but improvements are still needed to reduce the burden on patients. 

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.