Exactly.

And then there's a whole lot of other clinical workflow things that are doing admin work.

They're saying, hey, our admins are overwhelmed in private practice or even in the ER.

How do we make this faster? How do we make it more effective? Because...

There's certain things that AI and machine learning are inherently going to be a little bit faster at in terms of doing interpolations and making conclusions from that information than the human brain.

And I personally feel like we're at a point where you can add safety and efficacy to a device if you have a human in the loop.

where for folks who aren't familiar with the turn of art is at the end of the day, it's a human that's making the decision.

Yeah.

I'd love to hear more about that, whatever you're willing to share.

Yeah.

So, uh, I'm, I'm perfectly happy to talk about it, and it's definitely early days, and it really kind of came from the fact that, you know, when I've worked at these companies that are sort of doing the best in field practice, right? You know, I- Apple's one of the great examples I like to bring up because they, you know, even though they're a first in class consumer development company, right? Most of their products are consumer facing.

They lean fully into accepting that, hey, if we're gonna offer these irregular rhythm testing products and these ECG processing single lead products and these SpO2 products, we need to treat them like medical devices and treat them with that level of care.

And rigor.

And it turns out that because they were already so high quality, they could just take a lot of those processes and sort of copy-paste them over.

So I believe a lot in learning from other industries.

Or, or i- is this related? I don't, I don't wanna go completely irrelevant, but let's just-