Name: Lifesaving AI and JavaScript | Jaeman An | JSConf Korea 2019(en sub)
Uploaded: 2020-03-28T16:37:18.000Z
Duration: 24 min 56 s
Description: Thousands of YouTube videos with English-Chinese subtitles! Now you can learn to understand native speakers, expand your vocabulary, and improve your pronunciation...

Modal verbs - A2

My name is Ahn Jae Man, and in this session

I am going to give a presentation about the Life-saving AI and Javascript.

I work at AITRICS, a medical AI corporation, and I use AI

to predict the acute and critical diseases and emergencies of the inpatients,

And report the results to the medical team and help them to prepare for such incidents

We are provide solutions for such events.

Today I am here to walk you through the process and issues during the development of such solutions.

When we say medical technology, it's a very broad term, same applies for the AI.

Likewise, there's a lot to talk about Javascript.

Our topics are extensive, and since I have such a limited time of 30 minutes,

I might briefly touch on some subjects on the surface level

On some topics, I may lack depth in my explanation.

or if you would like to discuss some issues in depth, you can ask me,

or you can come talk to me in person later after the presentation,

So in this session, what I would like to talk about is

The field of medical AI is not familiar with most people.

A lot of you might have heard of artificial intelligence so you'll might already be familiar with that.

but medical AI would be something most of you haven't heard of. So I will introduce you about this first

and then I will go over how to develop AI solutions,

And then related to this topic, we are using the JS, so I will talk about Javascript related techniques

We use a lot of languages like Javascript, Python, and Go,

Today I would like to focus on the Javascript related issues.

And because the AI is different from regular softwares,

I will discuss several issues in relation to that.

This is the contents for today, and now I will start my presentation.

What if your code could save someone's life?

Can contribute to raising the survival rate, even just 1%,

Your code will be able to save the life of one person out of a hundred.

In the U.S., 250,000 people lose their lives annually because of medical malpractice.

Now if your code may contribute to reducing such malpractice,

and increase the survival rate, even if it's just one percent,

You will be able to save 2,500 people annually, out of the 250,000.

Now, I will talk about how the software engineering

So one of the solutions we are working on right now is this:

This is a solution that predicts acute diseases in advance

So what are the acute diseases and emergencies?

and sepsis, or blood poisoning, which is not that widely known.

It may be hard to understand what sepsis is,

the sepsis refers to the same thing as blood poisoning.

Let's say someone was bitten by a dog, and he was taken to the hospital, but passed away within a day.

Someone had an injection, like glucose solution, and suddenly passed away.

induces the most deaths and incurs the highest cost,

And what's serious about it is, with each hour of delayed treatment,

are related to sepsis or blood poisoning.

Then if we can predict this sepsis and report it in advance,

we can intuitively understand that so many people can be saved.

the solution for predicting sepsis outbreaks.

Now I will introduce the development process for such a solution.

The overall process is shown in this figure.

The data of the patients, such as the heart rate, pulse, blood pressure, and body temperature,

and the blood test results, or X-ray, CT scan image, and prescriptions

and when we enter it into a machine learning model, and this model will,  in 4 hours to 24 hours,

Calculate the probability of death or sepsis occurrence for the patient

Such results will be displayed on the dashboard,

So this is the solution we are distributing right now, and

the mortality, or death, this solution decides that the person is risky of death in six hours,

and it notifies of the risk, and its evidences,

It offers the view of those information, such as the current state of the patient.

I summarized the process for AI solution development into five phases.

I thought it'd be easier for me to explain if I divide it into 5 phases.

First is data refining and model building,

this is an essential phase in building an AI.

As you collect a massive amount of  data,

you might encounter with strange data, or useless data,

So we do data cleansing and pre-processing.

We have to define what we are going to predict.

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Lifesaving AI and JavaScript | Jaeman An | JSConf Korea 2019(en sub)

process

intuitive

accurate

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