Dr. Andrew Gostine

speaker

235 appearances 1 recordings 1 series first heard Jul 2026 last heard 9 Jul

Dr. Andrew Gostine’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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DGTL Voices with Ed Marx · A Trillion Small Problems (ft. Andrew Gostine) · 9 Jul 2026 podcast

That's kind of table stakes for our industry.

What Artisite does is you're going to see three major categories.

We make predictions.

And so we have kind of a general purpose prediction engine that one of my co-founders published in Nature.

I like to highlight that we published how to use a large language model in healthcare a month before ChatGPT came out.

And so before all of a sudden the whole world became experts on LLMs.

So you'll see more prediction engines, which really help us figure out what type of monitoring does a patient need?

Do they need a full prevention algorithm?

Do they need a pressure injury prevention algorithm?

And so like economics, we want to allocate these types of resources to the patients that need them most.

So prediction engines, you're going to see a lot more in the form of computer vision, where our self-supervised learning has now educated our computer vision monitoring to detect over 200 different events

in the patient rooms and operating rooms.

So this is not just fall prevention or pressure injury prevention.

It's understanding like how often are we doing oral care?

Did we get SCDs on the postpartum woman in room 14 to make sure she doesn't get a blood clot?

So there's a ton of intelligence coming out of that.

You're going to see a lot in terms of our ambient documentation, especially with big partnerships like Microsoft to support a lot of the ambient documentation the major EMR vendors are doing.

A lot of that is built on top of Microsoft and we support Microsoft with getting them the metadata about who is in the room talking, what they're saying, and sending the audio streams to Microsoft for speech-to-text analysis.

And then lastly, the big category you'll see is a lot of our agents.

And so you'll never make a digital nurse.

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