When it comes to gen AI and summaries, how do you ensure that there are no hallucinations? For example, summarizing a patient record, the AI could potentially Think to itself think whatever that whatever that actually means to the ai but the ai says given all of these symptoms The patient must also have x y or z condition and then inserts it How do you how do you deal with that?

Constant oversight, human oversight.

First of all, we don't deal with anything that can be attributed back to a Michael Krigsman or a Jay Pharoah or anything like that.

We deal with pseudonymized and anonymized data.

So first and foremost, we're not dealing with Joe Smith or or Jason James or anything like that.

We're dealing with pseudonymized and derived data, which is super important.

Number two, constant refinement of the model.

How do you use AI on clinical trials? And of course, what's the impact, but he's also wondering would removing AI guardrails and regulations make clinical trial trials better or faster?