1) She was already correctly diagnosed with the first issue (babesiosis), which causes anemia.
2) As a result of the babesiosis, she developed a secondary complication (immune disorder), which worsened the anemia. Note that this can also occur as a standalone disease, which is actually the google result you're getting.
3) You would have had to google "secondary complications causing anemia as a result of canine babesiosis", and at this point, google stops helping you. Not that I would have known to google that anyway.
https://vcahospitals.com/know-your-pet/anemia-in-dogs
Right there on the page: IMHA. If you add just a couple keywords from the large input, you likewise get more direct IMHA results.
As a guy who knows nothing about dogs, Chatgpt seemed to zero in on this 10x better than that very long VCA page.
Also this ignores my original comment where I just typed the keywords from the vet notes and got IMHA right on the first result.
That'd be about 100x faster using Google.
Here [1] it’s actually the author who rules that out himself based on prior knowledge and the fact that the situation didn’t get better after the first diagnosis and subsequent treatment. Looking for a secondary cause/explanation is what drives him to ask the question in the first place. GPT says here are some “general information on…”.
[1] https://twitter.com/peakcooper/status/1639716836911489025?s=...
I have seen some good use cases for GPT but this one in particular (the Tweet) is not a good example.