This is the essence of how to make the medical system work for you. Advocate for yourself. AI helps know what to ask, why you should ask, and how to get past the first few layers of dismissals.
For the developers here, consider: "So our CI pipeline is super flaky, and it you have to restart it in a variety of non-intuitive ways. LLMs have been a massive breakthrough because the bot can run in an endless loop reading the confusing error messages and retrying the pipeline with different environment variables until it passes!"
Of course, but what else would you think an LLM does? That is the insight: sifting through a sea of information and parsing it without the same emotional or other cognitive biases the original human recipient applied to it.
This is really kinda the crux of it.
The AI suggested the MRI not because it had some insight into "oh there's something only an MRI can detect going on", it was just a "collect more data" situation.
Frankly, the author of the blog should probably have gotten a second opinion from a different fertility doctor sometime in the intervening time period.
As someone who also went through multiple rounds of IVF with my partner, the number of ultrasounds you get during the process is immense. It's hard to call missing a peach-sized fibroid that many times anything other than gross incompetence.
With this sort of advice from LLMs, I think there's a lot of selective recall that's easily overlooked -- where we gloss over all the bad, dead-end lines of advice we seek from the LLM oracle.
However, the real problem is that modern AI systems still hallucinate. And there is not yet any evidence that I’ve seen that AI systems can be trusted to work at these levels of efficiency and correctness at the tactical single-patient level, as opposed to the strategic population level.
I think lots more work needs to be done here.