As artificial intelligence continues to dominate Wall Street’s attention, the conversation typically has revolved around productivity…among more existential concerns.
But can AI be used to treat some of the most consequential and prevalent cognitive diseases?
Linguist and cognitive scientist, Dr. Coral Hoh, certainly thinks so and has dedicated her 30-year career to developing Dysolve, an AI-powered system geared toward the the treatment of Dyslexia.
Hoh explains how the innovative technology works and why artificial intelligence was needed to fill a treatment gap in the video above.
Related: Why one doctor turned to AI to ‘dysolve’ dyslexia
TRANSCRIPT:
Dr. Coral Hoh: Imagine that you need an expert, right, for something like this, for diagnosing and correcting a brain condition. So what we’ve done is really put the expert in the machine. And so then what does the expert need to do?
Let’s just say it’s a child that has to be diagnosed. You know, the intervention has to be given to the child. The expert has to interact with the child in some way. Right and observe what is going. So then Dysolve creates a game – generates a game or builds a game and gives it to the child through the device. And the child plays the game.
So now there’s a way for Dysolve AI to observe what happens. Was the child able to do this language activity or were they errors? Now, if it’s correct, then dissolve. I will give another game to probe. Perhaps some other area. But if there’s an error with this particular activity, then dissolve. It wants to figure out what is going on and probe some more.
And if the result is kind of vague and fuzzy, Dysolve has a thing. What am I going to do next? But unlike me, we have to sit there and think about it for a while. Dissolve has to act immediately. So dissolve.
It will just generate game after game after game so that the child doesn’t have to wait. And for language processing, it’s got to be done super fast, right?
So the question is, why do we build a computer expert system? Why wasn’t human experts sufficient to do this?
So there are three factors. One is complexity. The other one is speed. And then the third one is capacity. So let me handle one at a time.
Complexity: This is a language processing issue. And so we have to consider the linguistic system of the brain. And that’s like a super complex system, like a large computer operating system with millions and millions of lines of code. So any part of the system can have these inefficiencies to different degrees.
How is a human going to find them? That’s one, right? The other one is, as I said, you can’t make the child wait. Right? So it’s a matter of speed. And natural language is processed super fast in the brain under a second, hundreds of milliseconds in parallel. Many, many things happening at the same time.
So there’s no way for a human to record it and to calibrate it or to calculate it. The third one, of course, is scale, right? Even if one person can handle one child, how about the 30 million students around the country? At least 30 million with this kind of. Right and part of that problem as well is cost and accessibility.
