Abstract: A system includes an intraoral scanner and a computing device. The intraoral scanner generates an intraoral scan of a dental site. The computing device processes an input comprising data from the intraoral scan using a trained machine learning model that has been trained to classify regions of dental sites, wherein the trained machine learning model generates an output comprising, for each point in the intraoral scan, an indication as to whether the point belongs to a first dental class that represents excess material. The computing device determines, based on the output, one or more points in the intraoral scan that are classified as excess material. The computing device then hides or removes, from at least one of the intraoral scan or a virtual three-dimensional (3D) model generated using the intraoral scan, data for the one or more points that are classified as excess material.

Abstract: A novel plaster application method includes the first step of applying the plaster in a plurality of parallel and spaced apart lines using a novel hand tool so that the upper edges of each plaster line define the plane of the final plaster surface. After allowing the plaster lines to dry and harden, the second step is to fill the spaces between the lines with more plaster forming the final plaster surface by raising the level of plaster to the plane of the final surface. More layers of plaster may be applied if needed. A serrated hand tool is proposed for aiding the plaster spreading which contains a plurality of generally triangular teeth with oval upper portions and blunt lower ends defining the distal edge of the tool. The new method allows a faster application of plaster in a construction practice with reduced consumption of plaster material.