Super-resolution is certainly distinct from hallucinating - it just rearranged data that was already there to make it easier for the human eye to see - but should be used with care. I can easily imagine that an upscaling algorithm makes it so a certain defect is clearly not present, when the source image is ambiguous (which the radiologist would have noticed), and in reality the defect is present.
I would definitely be wary using the more advanced super resolution schemes. It took some work preventing it from drawing faces everywhere.
MRI is already a form of compressed sensing, I would much prefer statistical forms of super resolution to ones based on training data. Even if it is only trained on MRIs it will see some noise and plausibly expand it into whatever disease fits.
