1. A method for automated processing a cephalometric image, in a processor-based machine using machine learning steps, so as to provide results for treatment planning and follow-up, comprising: receiving a cephalometric image from a user; pre-processing said received cephalometric image, in a processor-based machine, to determine whether the quality of the cephalometric image meets a pre-determined image quality criterion; if said pre-determined image quality criterion is met, carrying out a sequence of automated localization of anatomical landmark points of interest on said cephalometric image, in said processor-based machine, based on machine learning from previously-analyzed cephalometric images; generation of a cephalometric report including analyses results based on said landmarks; formatting said cephalometric report into a user-readable format; and providing said cephalometric report in said user-readable format to said user.