The move highlights the growing trend of organizations turning to artificial intelligence to help address some of healthcare's most pressing issues. 

In a Harris Poll, the vast majority (84%) of frontline healthcare workers expressed dissatisfaction with their jobs, though most said they’d consider staying in their current role if provided an opportunity for education and career advancement.

These findings have the potential to change how treatment decisions are made in the future, researchers suggest.

CEO Dana Smetherman, MD, MPH, MBA, explains American College of Radiology efforts to help members understand and enable easier integration of artificial intelligence.  

Understanding which women have the greatest short-term risk could enable providers to implement targeted screening strategies to ensure malignancies are caught at the earliest possible stage.

‘If it weren’t for the intransigence of the American Medical Association, we’d be well on our way to fleets of AI doctors diagnosing diseases and prescribing treatments.’

Cardiac surgeons see significant value in AI's ability to assist clinicians with administrative tasks and patient selection. When it comes to making clinical decisions, however, there is still a certain amount of skepticism. 

The federal payment program first started paying for AI in 2018 and has denied about 53% of claims (or 53,857) submitted by radiologists since then, experts detail in JACR.