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Finding Genius Podcast

SyTrue – Revolutionizing Healthcare through Data Analytics

Finding Genius Podcast

Richard Jacobs

Medicine, Health & Fitness

4.41K Ratings

🗓️ 12 April 2017

⏱️ 37 minutes

🧾️ Download transcript

Summary

Kyle Silvestro, Founder & CEO of SyTrue™ has been working on natural language processing for medical applications for the last decade.
He talks about how clinical natural language processing translates unstructured clinical data into actionable information. NLP not only understands the content but the meaning and context behind the content, providing caregivers essential and accurate data (complete picture) that can be used to make the right decisions at the right time impacting the lives of the patients going forward.
The right NLP can prevent misdiagnoses, show a patient's true meaning and intent when they discuss their symptoms, and more.
Kyle shares his thoughts on what the technology will be able to achieve in medical data realm from accurate prediction of congestive heart failure to predicting the risk factors that may lead to congestive heart failure. This technology is going to impact 30 million people in the coming years while saving billions of dollars in healthcare costs.
Listen to Kyle Silvestro’s exclusive interview to find out more about clinical language processing and more. Subscribe, share and review the podcast and donate Bitcoins to Future Tech Podcast so we keep bringing you the latest news & updates.

Transcript

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0:00.0

Welcome to Almost Here, Around the Corner of Future Technology Podcasts with Richard Jacobs.

0:08.0

Future Technologies Boys to Transform Our Lives, for better or worse, are the focus of this podcast.

0:13.6

Almost here, means these technologies are now here and

0:16.7

starting to be used.

0:18.2

We're just around the corner.

0:19.7

From Bitcoin to artificial intelligence,

0:22.0

3D printing, blockchain, virtual reality, and more.

0:25.4

Hi this is Richard Jacobs with future tech podcast. I'm talking with

0:30.2

Kyle Sylvester of Cy True.com, S-Y-T-R-U-E-K-K-K-O-E-K-K-K-O-E-K-T-R-U-E-K-K. We're going to talk about natural language processing and the work that

0:39.4

Cy True does. So, Kyle, how you doing? Doing well, yourself.

0:44.0

Good, thanks for being here.

0:47.0

Yeah, so would you give a listener, just an overview of what you do in the realm of NOP and what the site you does?

0:55.0

Yeah, so as I think about the problem,

0:59.5

I've been in the business for more than a decade now,

1:01.6

so it's kind of interesting to see the

1:03.5

evolution of this occur from a commercial perspective. You know, and one of the things

1:07.8

I've always said is, you know, being in this business, it's interesting to see how

1:10.8

things have failed over the evolution of this technology.

1:15.3

So when thinking about that problem, really you have to have the ability for the computer

1:19.6

to read and understand human language.

1:22.2

And then from there you have to be able to put in context. But it's just not enough

1:25.9

to be able to say, okay, let me read it and put it in context. You have to be able to make

...

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