ACR calls on Congress about proposed changes | 4 ways radiologists can help with shared decision-making

The American College of Radiology (ACR) is now asking Congress to intervene to help stop budget changes that could severely hamper imaging professionals.

Shared decision-making (SDM) plays a key role in patient-centered care. And according to a new analysis published in the American Journal of Roentgenology, it’s a process radiologists can be more involved in than they may think.

A new tool developed by one Canadian university can help to more accurately locate the edges of tumors, eliminating the need for costly follow-up surgery.

If leaders want to succeed in training resident radiologists, they may need to pull a 180 on old, outdated teaching methods.

AI models can interpret medical images with a diagnostic accuracy comparable to that of actual physicians, according to new findings published in The Lancet Digital Health. 

Artificial intelligence (AI) is still gaining momentum in 2019 as researchers build bigger and better algorithms and vendors release new, state-of-the-art solutions. For healthcare providers, however, the world of AI can still be intimidating in a lot of ways; if you haven’t already started exploring the potential of AI, where do you begin? What’s the first step?

Radiologists’ pay-raise rates are flat. Administrators are working hard to earn bonuses. Lots of technologists are looking for new opportunities, and few PACS pros are skimping on time off (but not many are overdoing it either). See the numbers behind the factoids in the tabulated results of the 2019 RBJ Salary Survey.

The lopsided male-to-female ratio among radiologists and radiology residents—around three men for every one woman—has remained stubbornly constant despite years-long efforts to narrow the gap. This reality is reinforced each time the American College of Radiology conducts its annual workforce survey.