"It should be very easy for an AI to look at an x-ray, CT, ultrasound or MRI image and tell what disease a human got, even some that humans don't know of.

Are there any labeled datasets "

-Some Software dude, every month since 1971

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andy_ppp 6 days ago | parent [-]

No the examples you give are extremely difficult compared to the 2D graphs of an EKG. The Apple Watch is clearly doing some fairly accurate inference with a single lead around arrhythmias, for example. I’m really sorry for being enthusiastic about machine learning, I just finished doing an intensive ML bootcamp and it was fun getting results. I also actually have some heart issues so I’d love to see if I could get a result. Thanks for your constructive comment though, I’ve never seen ones like this here before!

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meindnoch 6 days ago | parent [-]

>I just finished doing an intensive ML bootcamp

Then maybe learn a bit more about the domain before posting silly things.

	▲	andy_ppp 6 days ago \| parent [-]
		I'm not talking about me successfully building an AI that can do better than humans or identify all the worlds heart diseases I'm more looking to have fun and play around with some data (and yes learn more about the domain by doing!). I was maybe a bit too excited about seeing what would happen with a real dataset like this, but it's a hacker news comment not a PhD defence, no need to be so negative. Thanks.