A few things, that’s an abysmal rate when it comes to people’s health. A doctor with that success rate would be sued into next century. The rate dropped further when it came to differential diagnosis, implying chat gpt was leaving out important rarer possibilities. Often doctor’s work by starting with the most common and narrow down from there after repeated rounds of testing if it ends up being something uncommon, but one of their primary jobs is also thinking about rarer dangerous stuff that can mimic more common things and must be ruled out immediately.

Most importantly, the information fed into this was optimized with accurate descriptive medical terminology. This is a language that, in general, patients do not speak. People can also describe things very differently, for instance weak when a doctor may so numb or visa versa. And dizzy could mean just about anything. Someone typing their own story directly into chat gpt is going to get much worse results than this without someone to interpret the word choices and ask the right questions that people may not even realize are important.

Anyways, the possibilities of AI use in Healthcare is interesting, but disappointing it does worse the less common things get and is bad at a differential diagnosis, the areas that would be really helpful as an aid to diagnosis. Some other areas to think about though could be maybe as a front end to find clinical trials with the us gov database, which can be hard to browse, or maybe streamlining the endless insurance paperwork. I’d be surprised insurance companies don’t use something similar already.