Over the five-year period ending last December 31, only a third of 218 scientific articles on AI in four popular radiology journals shared the researchers’ code. 

Surgeons and other interventionalists who tapped an academic radiology department’s 3D printing service to plan and practice upcoming procedures saved almost half an hour per operation over the course of a year. 

Payers have been using rates agreed to by PCPs to justify underpaying specialists such as anesthesiologists, emergency physicians and, yes, radiologists.

An educational outfit has sprung up to equip nonphysicians working in radiology—chiefly administrators, business managers and technologists—with radiologist-level fluency in AI.

The demand is especially great for asymptomatic individuals of all races and ethnicities.

The commoditization of health data raises questions about who is owed what, and in what proportion, when artificial intelligence renders the data clinically useful and thereby financially profitable.

Data scientists and software engineers at the University of Arkansas have been awarded more than $140,000 by the NIH to educate biomedical researchers on the growing role of AI in big-data analytics.

In a point directly pertaining to radiology, Leapfrog advises hospitals to have ready access to a radiologist 24/7 either onsite or via teleradiology—not only to read emergency exams but also to supply input on imaging test selection.