I never said it can’t be useful, just that it isn’t very useful right now and it certainly isn’t going to replace doctors any time soon. I said it in another comment that eventually I think AI will be a tool that could be used to help doctors.

I mean, sure. I know people who have used ChatGTP to write their discharges. It’ll definitely be tried as a crutch by the lazy in the short term, but I think it’ll end up being used as a actual tool in the long term (not just in medicine, but in a wide variety of fields). However, I also think that’s an entirely different discussion than the one this article presents. I think the conversation of how AI can be used as a tool to assist existing and future professionals is an entirely different conversation than wether or not AI is going to replace any given profession. I also think it’s a wildly more productive conversation because I don’t believe there are many professions that can be completely phased out by AI.

I also think that the point you raised about codes is another entirely different discussion that could be had about the pitfalls of modern day medicine. I’m actually going to argue hard in favor of the doctors who told you to “choose whatever code is most appropriate” because in my experience and opinion, knowing specific billing codes is wildly outside the scope of knowledge needed and expected for a doctor. Their job should be first and foremost to treat their patients. Navigating the unnecessarily complicated and red tape filled maze that is billing and insurance codes is not only an unrelated skill set, but also a necessity brought out of a flawed and predatory system built by those who seek to profit at the cost of healthcare (i.e. insurance companies) rather than those who seek to make a living by providing healthcare.

This is a big flashy headline that isn’t as big of a deal as it presents itself. AI is still extremely far from assisting doctors, let alone replacing them.

“Diagnosis a 1 in 100,000 condition in seconds” is an absolutely meaningless statement.

What was the condition? Does it present with vague and difficult to assess symptoms or does it have a pathognomonic clinical sign that identifies it immediately, or is it somewhere in between? Did the AI diagnose it correctly, if so was it on the first try? Is it repeatable, could it diagnose it again? How prone is it to false positives, can we be sure it wouldn’t diagnose a healthy patient or a patient with a similarly presenting problem? What about false negatives? It caught it this time, do we know how many times it missed it? What about a treatment plan? Does it know how best to treat it and can it work to personalize a treatment to fit that patient specifically with any comorbidities or conflicting medications taken into account? When planning treatments does it stick strictly the drug label or does it factor in published research on dosing?

Even better yet, Relay had a dedicated button that hid all posts you’d already viewed so you never had to worry about accidentally refreshing your feed as you could just hide everything and go back to where you were. It even had an option to automatically mark posts you scrolled past as read so you didn’t have to open posts that you were only going to read the title of.