Emergency medicine is the coding of medicine. Fast feedback loop, requires broad rather than deep judgement, concrete next steps.

The AI coding improvement should be partially transferrable to other disciplines without recreating the training environment that made it possible in the first place. The model itself has learned what correct solutions "feel like", and the training process and meta-knowledge must have improved a huge amount.

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dghlsakjg 3 hours ago | parent [-]

I would argue that the ED is the least similar to code. You have the most unknowns, unreliable data and history, non deterministic options and time constraints.

An ER staff is frequently making inferences based on a variety of things like weather, what the pt is wearing, what smells are present, and a whole lot of other intangibles. Frequently the patients are just outright lying to the doctor. An AI will not pick up on any of that.

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TurdF3rguson 3 hours ago | parent [-]

> An AI will not pick up on any of that.

It will if it trains on data like that. It's all about the training data.

	▲	mrbungie 3 hours ago \| parent \| next [-]
		The user will be adversarial and probably learn new tricks to trick the machine, this is not solvable (only) via training data.
	▲	n8henrie 3 hours ago \| parent \| prev [-]
		Unfortunately the training data is absolute garbage. Diagnostic standards in (at least emergency, but I think other specialties) medicine are largely a joke -- ultimately it's often either autopsy or "expert consensus." We get to bill more for more serious diagnoses. The amount of patients I see with a "stroke" or "heart attack" diagnosis that clearly had no such thing is truly wild. We can be sued for tens of millions of dollars for missing a serious diagnosis, even if we know an alternative explanation is more likely. If AI is able to beat an average doctor, it will be due to alleviating perverse incentives. But I can't imagine where we could get training data that would let it be any less of a fountain of garbage than many doctors. Without a large amount of good training data, how could AI possibly be good at doctoring IRL?