Automating diagnosis goes too far. Deep learning will largely be used for decision support; i.e. surfacing and indicating possible diagnoses for a medical profe

Automating diagnosis goes too far. Deep learning will largely be used for decision support; i.e. surfacing and indicating possible diagnoses for a medical professional to choose from. Most machine-learning companies have misunderstood the role of radiologists. Their first job is not diagnosis. It is to find the right domain, the right view of the data, from which to formulate a diagnosis. So the problem is to map from one set of parameters, say, how an X-ray is taken, to another more promising set of parameters for the same X-ray, to get the view they need. It's not just see an image, find a tumor.