As someone with a family member in radiology, I thought an important thing was missing from the article and comments I've seen here:

> In 2025, American diagnostic radiology residency programs offered a record 1,208 positions across all radiology specialties, a four percent increase from 2024, and the field’s vacancy rates are at all-time highs.

One reason I hear (anecdotally) that vacancy rates are so high is that fewer top quality people are going into radiology. That is, when med students choose a specialty, they're not just choosing for now, but they need to choose a specialty that will be around in 35-40 years. Many med students see the writing on the wall and are reluctant to invest a huge amount of blood, sweat, tears and money into a residency when tech may potentially short circuit their career eventually.

So what you see is that even though AI is not there yet (I'd really highlight this from the article: "First, while models beat humans on benchmarks, the standardized tests designed to measure AI performance, they struggle to replicate this performance in hospital conditions." For the programmers in the room, it's like AI that can solve all the leetcode problems but then falls over when you get into a moderately complicated situation) but there is a shortage of radiologists now because med students are worried what will happen in 10/15/20 years.