My (extensive) experience with LLM code generation is that it has the same issues you describe in your field. Hallucinations, over-engineering, misses important requirements/patterns.

But engineers have these same problems. The key is that the content creator (engineers for codegen, doctors for medicine) is still responsible for the output of the AI, as if they wrote it themselves. If they make a mistake with an AI (eg, include false data - hallucinations), they should be held accountable in the same way they would if they made a mistake without it.