Disclosed is a method for manufacturing an orthodontic appliance, including the following steps: producing a scanned image of a row of teeth in an initial position; then in a position sought; then producing of a scanned image of the orthodontic appliance, the appliance including an orthodontic arch and at least one fastening element for attachment to a tooth. The orthodontic device is configured for being assembled to the row of teeth in the initial position, so that the arch will take a planar shape when the row has moved into the position sought. The method further includes the following steps: producing a scanned image of the orthodontic arch in the planar shape; then manufacturing the arch from the image by cutting a plate of solid shape memory material.

Techniques for preparing a model (e.g., a digital model) of a person's teeth are described. The techniques include receiving a model of a maxillary arch and a mandibular arch of a person's teeth, operating an automated mesh cleaning operation to modify the model, segmenting the model to identify individual teeth and gum tissue in the model, identifying and marking features of each tooth of the model, and adjusting the individual teeth of the model into a recommended orientation relative to each other, and applying a treatment method. The treatment method may include a selection of a bracket type and an aligner type. The techniques may determine a proposed location of brackets or aligners on the individual teeth based on the applied treatment method and export a digital model of a bracket tray for formation of a bracket tray that can be used to secure the brackets to a person's teeth.

A method for training a neural network intended to analyze a dental situation of an updated patient. A historical learning database is created that relates to a dental body and to a spatial attribute associated with the dental body. The historical learning database includes more than 1,000 historical records, with each historical record relating to a respective historical patient. Each record including a set of historical images all depicting the dental body in the historical patient, called “historical dental body” and an item of spatial information including, for the historical patient, a set of values for the spatial attribute, called “historical spatial information.” The neural network is trained, by providing it with the sets of historical images as input and with the historical spatial information as output, with the spatial attribute defining an ordered sequence of variables in a three-dimensional reference frame.

Polymeric shell appliances are provided in which the polymeric shell appliances are configured to provide one or more activation forces to facilitate tooth movement. In many embodiments, the activation forces are arranged to provide force in a direction opposite to an intended direction of tooth movement. The polymeric shell appliances may comprise one or more tooth receiving cavities, in which each of the plurality of tooth receiving cavities is shaped and arranged to provide a counter moment of each of the plurality of teeth.

An orthodontic force measurement system that enables duplication of the patient’s dentition for the application of appliances in a simulated clinical condition. Six components of the load system on individual teeth can be measured. The device can take patient-specific information, such as shapes and locations of the teeth, and duplicate them on the device. Clinicians will be able to apply different appliances to the denture and measure the load system on specific teeth. By accurately quantifying force/moments on individual teeth, individualized, predictable patient-specific orthodontic treatments can be implemented.

The method for generating dental data suitable for manufacturing of a dental aligner, includes storing 3D scan data of a dental arch, determining (140) a curve in an occlusal plane, determining a positioning of the nodes of the teeth of the dental arch on the curve, determining an elevation of the nodes of the teeth of the dental arch, and determining an orientation of the teeth of the dental arch; said manufacturing data are calculated at least on the basis of the 3D scan data as well as the determined positioning, the determined elevation, and the determined orientation.

A dental implantation assessment method includes the steps of creating a 3D teeth model; setting up a reference line, creating a health status table, and forming a multi-level frame model for an implant placement position on the teeth model; dividing each level of the frame model into a centered implant module and multiple surrounding test modules; dividing each test module into multiple assessment zones, and combining the latter with the health status table; selecting and placing a dental implant model in the frame model, and defining one assessment zone in each test module that contacts with a periphery of the dental implant model as a selected zone; and lastly, computing assessment values assigned to the selected zones to determine an object type of the dental implant model. A dentist can decide an optimal dental implant through dental implant model size selection and implantation simulation to ensure successful dental implant surgery.

Apparatuses and methods for customized retainers to prevent relapse. In particular, described herein are customized retainers, and methods and apparatuses for making customized retainers that specifically reenforce and prevent movement of one or more teeth having a higher likelihood of relapse following completion of an orthodontic treatment plan.

Systems, methods, and computer-readable media for identifying and facilitating review of outlier treatment plans. A method includes receiving an initial three-dimensional (3D) model of an initial arrangement of a patient’s teeth and generating a first final 3D model of a first final arrangement of the patient’s teeth based on the initial 3D model of the initial arrangement of the patient’s teeth. The method further includes comparing the first final arrangement of the patient’s teeth with a set of a plurality of final arrangements of teeth from previous treatment plans of past patients and determining whether the first final arrangement of the patient’s teeth satisfies one or more outlier criteria based on the comparing. Responsive to determining that the first final arrangement of the patient’s teeth satisfies the one or more outlier criteria, an orthodontic treatment plan comprising the first final 3D model of the first final arrangement of the patient’s teeth is classified as a clinical risk.

Systems and methods are provided for preparation of orthodontics and prosthodontics. A method may include scanning a patient's teeth to form first 3D data of the patient's teeth including a removable element that obscures part of the dental surfaces of the patient's teeth and non-obscured tooth surfaces, removing the removable element form the patient's teeth so that the removable element no longer obscures the part of the dental surfaces of the patient's teeth, and scanning the previously obscured part of the dental surfaces of the patent's teeth and the non-obscured tooth surfaces.