Abstract: A diagnostic facility is described. The facility accesses a set of trained machine learning models. For each of a plurality of stages of a diagnostic ultrasound protocol for blood vessels, the facility causes an ultrasound device to capture from the person an ultrasound artifact of a type specified for the stage that features a blood vessel specified for the stage; applies one of the trained machine learning models to the captured ultrasound artifact to produce a prediction; and determines a score for the stage based at least in part on the produced prediction. The facility combines the determined scores to produce a diagnosis grade for the person.