I'm excited for the applications of deep learning in radiology. I'll be starting radiology residency in a couple years (intern year first).

Can someone explain whether this solves the problem of identifying multiple pathologies within the same image? For example, if a patient has pneumonia and a pleural effusion, could this method activate two subnetworks and come up with a consensus diagnosis based on both those networks? Or does only one pathway get activated at a time?