Frank D. Vrionis

I have been involved as far as AI is concerned.

But I can see that AI has a lot of other applications, potentially in medicine.

We see AI reading CAT scans sometimes or getting warnings about somebody's CAT scans.

And I think there's also a lot of potential applications of AI, not just in data analytics, but also in responses to patients' questions and so on and so forth.

But, you know, I think it will grow to some degree.

Now, how exactly it's going to work and, you know, and how AI is going to be coordinated and so on is difficult really to predict.

But, for example, to give you some examples,

idea.

We get, you know, health professionals get thousands of phone calls a day.

You have to have people answering the phone.

A lot of the questions, like 80% of the questions are routine, and potentially AI can answer those questions.

So you can have

something automated, whatever, and answer those questions and only reserve a face-to-face, so to speak, or a person-to-person response for the 10, 20% of the questions that they really need somebody

who knows more about things.

So just a very, you know, just an idea, so to speak.

I see also AI being, I think already is applied in terms of

you know, billing or scheduling or many times for insurance companies as far as deem as to whether a service is appropriate or not appropriate.

AI has the potential to analyze very quickly a lot of data and respond to things much faster than a human can.

So there's a lot of little ways that AI can make a difference, primarily in the efficiency of healthcare delivery.

Growth typically happens in the sense of hiring more people to cover certain gaps that we have, maybe neurology or surgery issues.