Researchers recently studied this phenomenon at one academic institution, and their findings could have widespread implications across radiology.

Yale New Haven Hospital recently tested out this workflow change, adding a button in its EHR that allows physicians to suggest changes to CT or MRI requests. 

The Jan. 13 update includes one new topic—child cerebrovascular disease—along with seven revisions.

This is the fourth such approval for Tel Aviv, Israel-based Aidoc, which now offers a full package of AI tools to allow for quicker identification of the event. 

The University of Wisconsin’s Perry Pickhardt, MD, made his pitch in a new analysis, published Jan. 8 in the American Journal of Roentgenology. 

She wants a refund following an FDA review, which determined that some imaging tests did not meet federal quality standards. 

“Callbacks frustrate patients and erode trust between radiologists, patients, families and referring providers,” Michigan Medicine experts wrote. 

At least three institutions have also been banned from providing imaging services due to defective equipment. 

Radiologist Vikas Kundra, MD, is teaming up with UC Riverside bioengineer Bahman Anvari on the investigation, with plans to begin testing the imaging method on mice.

A North Carolina radiology provider has stopped performing mammography screenings after technical concerns led to it losing accreditation for the service. 

This deep neural network was able to extract vast amounts of data from images and deduce a higher cancer risk association when compared to even the best mammographic breast density model.

“This would be a major step toward improving quality of life for patients with breast cancer," said lead investigator Henry Kuerer, MD, PhD.