Machine learning is likely to first impact analyzing repeat MRI scans by identifying differences through subtraction.

“it seems that where the machine might first be able to make a dent in what you're doing is not the patient who gets their first skin but the one who gets the repeat scan that seems to be paired t-tests seems to be an easier problem to solve and an important problem to solve because a lot of times for us as radiologists like those those studies we still do things the same way when we review them whereas when you actually go and you take like a paired t-tests like you said and you actually do a subtraction or where you're looking for the difference or that Delta it can actually stand out and become very very simple and very obvious”