Surveying the landscape of interpretive AI in radiology, two researchers note a yawning gap between great expectations set in the recent past and actual clinical implementations as of spring 2023.

While the AI chatbot’s scores do reflect its impressive strengths, its weaknesses could present a unique opportunity for educators.

Radiology trainee programs must overcome several barriers to offer J-1 and/or H-1B visas to trainees, with more difficulties associated with the latter.

The National Science Foundation (NSF) is setting up seven new institutes for studying foundational AI. Two of the initiatives have healthcare as a prime focus.

“Healthcare is going to change. Writing is going to change. Research is going to change. I’m just trying to publish now and show it so people can know about it and explore more.” 

As artificial intelligence continues to cement itself into radiology workflows, a new analysis offers a detailed look at how radiology programs are adapting curriculum to reflect the impending changes. 

Experts involved in the app’s creation suggested that because it was designed to mimic real life, its use among emerging radiologists could potentially help address the issue of subjectivity and reader variability in interpreting mpMRI scans of the prostate.

"The more invisible radiologists become, the less their perceived value will be."