[PavlikPaja]

It isn't. It obviously is possible to drive a car. The problem here is you're trying to reconstruct image from less data than what is fundamentally possible. Compressed sensing is already as low as you can get, unless you prove it is possible to reconstruct the image accurately from even less data, then it's probably pointless to try use neural networks to decode it, and it's actually a bad idea anyway.

The problem with neural networks is that they can reconstruct something that looks "normal", not necessarily something that is accurate. The more abnormal the scan, the more likely it will get reconstructed as something that looks perfectly fine even when it's not.

[LeanderK]

I really don't know anything about MRI and their usage, i was mainly criticising that his arguments sounded like a lot of the arguments I've heard against other usages of ML-Algorithms.

What I meant: There's probably a medical reason why you want such a product and if a more readily available MRI saves (really significantly) more lives than the chance that it might miss some abnormalies which could lead to death, then I think we should allow it. That's what I meant with a stochastic view. If we, for example, only have a few scans per hospital available because the chance might exist that we missclassify something and lots of people get worse or delayed treatment because they are not high enough on the priority list to get access to a super-resulution MRI with a fidelity they don't really need (again, i don't know anything, just to illustrate my point), then I think something is wrong.

His argument just sounded dismissive without giving a, to my uninformed point of view, valid reason.