It’s honestly impressive, but we gotta be careful how we interpret these results. LLMs excel at pattern recognition across massive datasets, which gives them a massive edge in dia…
It’s honestly impressive, but we gotta be careful how we interpret these results. LLMs excel at pattern recognition across massive datasets, which gives them a massive edge in diagnostic speed, but they still lack the clinical intuition and physical examination context that doctors use for complex triage.
The real issue is the black-box nature of these models; we can't always audit why a model picked a specific diagnosis, which is a major hurdle for liability in ER settings. Tbh, I see this as an advanced decision-support tool rather than a replacement. If we can integrate these models as a secondary check to reduce cognitive load on physicians, that’s a win.
But deploying this without rigorous guardrails or a human-in-the-loop workflow sounds like a recipe for hallucinations in high-stakes environments. Definitely a massive shift for medicine, though.