Abstract: A clustering model clusters multiple network communications through a clustering model to generate multiple clusters. Multiple judge models classify the network communications to obtain multiple predictions for each network communication of the network communications. Multiple sample network communications in a cluster are selected based on a discrepancy amongst the predictions of each sample network communication in the sample network communications. A lead model evaluates the sample network communications to select a judge model of the judge models for the cluster. The selected judge model is assigned to the cluster.

Abstract: Apparatus and methods are described for generating a medical summary of a patient. Using a patient-interface device (24), a plurality of questions are outputted to the patient, and respective answers are received to the plurality of questions, from the patient. Using at least one computer processor (26), for each of the answers received from the patient, a corresponding question sub-template is generated, and the question sub-templates are embedded into respective pre-defined locations within a medical summary template. A healthcare-professional interface device (30) is driven to display a medical summary of the patient in prose form, using the question sub-templates embedded within the medical summary template. Other applications are also described.