METHODS AND SYSTEMS FOR AUTOMATED ANALYSIS OF MEDICAL IMAGES WITH INJECTION OF CLINICAL RANKING

A method comprising the steps of: providing a plurality of visual findings in one or more anatomical images of a subject, wherein the plurality of visual findings are generated using a convolutional neural network, CNN, component of a neural network, wherein a 5 subset of the generated visual findings represents a set of priority findings; providing a first classification list for the plurality of visual findings, to associate a first clinical ranking to the set of priority findings, respectively; providing a second classification list wherein the second classification list is user configurable; assigning a clinical ranking to the set of priority findings, using at least one of the first and second classification 10 lists; combining the set of priority findings and their respectively assigned clinical ranking to form triage data; and to generate, using the triage data, an output that represents a re-ordered worklist.