Daniel Ek’s Vision for Healthcare: Preventative AI That Tracks Every Change
@eldsjal:
“The average person at
@Neko today has 950 moles. It's pretty crazy.”
Friedberg:
“The average person has 950 moles? That's insane.”
Daniel Ek:
“So if you think about it across a normal doctor's visit, how likely is it that (your) doctor will check out all the 950 moles that you may have? It's not going to happen.
So normally what happens in a doctor visit would be, you may say, ‘Look, I have a mole,’ or the doctor sees, ‘Hey, let's take a look at that mole. It looks a little bit funky.’
And then they bring out their tool where they inspect it. They usually, these days, have a software that checks against whether this mole... they take a camera across many different frequencies to then discover both the size of this mole, but also the texture of the mole and so on and so forth.
We literally do that, and we first have an AI system that flags possible risk factors, and then we have a human clinician that then goes through and reviews those as well. And should we even at that point find something, we then have expert dermatologists on staff, multiple of them, that then also reviews that result.
So that's just one indicator of what happens in one visit. But let's now presume the scenario that we'd have multiple visits, and maybe one year it's actually we don't discover anything.
But because we've cataloged and indexed every single one, we can actually now in a longitudinal base look at them from one year to the next year.
So it may be growing abnormally. These are things that if you think about it, even the best doctors in the world can't possibly remember how your mole may have looked from one year to another.
This is a perfect application of AI, right? But we look at this as like, this is a perfect application of how healthcare should look like. It should seamlessly be both AI and amazing clinicians.”
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