The article is entirely about papers coming out and company press releases, not about hospitals actually using these tools. As someone in the AI community (who rolls their eyes every time it's called "AI"), I've been frustrated at all the "I trained a covid model with 98% accuracy" self-back-patting.

Here's a perfect example: https://www.reddit.com/r/MachineLearning/comments/fni5ow/d_w...

Now, there's real work happening in the space, but I have yet to see much evidence it's being used in the real world, and when an article about its deployment only talks about its deployment via '“I wouldn’t use this as a primary screening tool, but I would use it for opportunistic screening,” such as flagging suspicious CTs or X-rays on patients who received imaging for unrelated medical reasons, says Lungren,' or talks about actual real live deployment today via 'it's totally being used some places in Korea and Brazil (according to this company's press release on their website),' I'm skeptical about the value it's adding.

There's serious work happening, but it doesn't seem to be useful to the real world (yet?), and this headline is 99.9% bullshit.