Abstract: Determine an amount of movement between an “anterior” updated instant and a “posterior” updated instant after the anterior updated instant. At the anterior updated instant, implementing an analysis method to obtain an anterior updated item of spatial information. Analyze a set of several images to obtain spatial information. Create a historical learning database relating to a dental body and the spatial attribute, with a set of historical images all depicting the dental body and an item of spatial information. Training the neural network, by providing the sets of several 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. At the posterior updated instant, implement analysis to obtain a posterior updated item of spatial information. Compare the anterior and posterior updated spatial information, to obtain an amount of movement.

Abstract: A non-transitory computer medium storing computer-program instructions for executing a method that includes: instructing the acquisition or reception of an updated two-dimensional image representing a real dental scene, the updated image is a photo or an image extracted from a film, determination of a virtual dental scene as a function of the representation, the virtual dental scene including an indicator which does not represent a physical element, the indicator representing realistically or not, non-visible part of a physical element of the real dental scene, and display of the virtual dental scene, in transparent mode and overlaid on the real dental scene on a screen through which the real dental scene is visible or projected onto the real dental scene, or overlaid with the representation of the real dental scene on the updated image displayed on a screen, in transparent mode or not on the representation.

Abstract: A method for acquiring a model of a dental arch of a user includes, at an update time, extra-oral acquisition, with a portable scanner, by the user, of a digital three-dimensional model of the arch. Optionally, the method includes a division of the model of the arch so as to isolate one portion of the model of the arch, so as to obtain an “updated model”. The updated model thus possibly being the acquired model or the portion of the acquired model isolated by division, the object represented by the updated model being called the “updated object”.

Abstract: A method for generating an image of a dental arch of a beneficiary, called “modified image.” The method includes, at an acquisition time, acquiring a photo depicting the dental arch, called “original image.” The method successively includes processing the original image such that it depicts discriminating information. The method successively includes submitting the original image at the input of a neural network, called “simulation neural network”, trained, based on the original image, to simulate, on the original image, the effect of a dental event, in order to obtain the modified image.

Abstract: A method for providing orthodontic treatment. Providing a treatment plan for a first person based on a first representation of the first person's dental arch. Providing a plurality of substantially transparent dental aligners. Instructing the taking of a plurality of images of at least a portion of the first person's dental arch with a mobile device associated with the first person. Receiving by a second application an output relating to an analysis of at least one image of the plurality of images of at least a portion of the first person's dental arch from a deep learning device capable of evaluating the fit of the at least one of the plurality of substantially transparent dental aligners for a current stage of the orthodontic treatment. Displaying at the mobile device a message related to the analysis. Performing some steps times.

Abstract: A method of determining an optimal switchover moment for a hybrid orthodontic treatment of teeth. Creation of a digital three-dimensional model of at least part of a dental arch. Deformation of the initial reference model until the tooth models are in a target position. Acquisition of at least one two-dimensional image of the teeth. Deformation of the initial reference model until the at least one updated image corresponds to the initial reference model. Determination, from the updated reference model and from said target reference model, of a plurality of remaining-treatments for moving the teeth from their position represented in the updated reference model into their position represented in the target reference model. Determination of a profile including at least one value for an evaluation parameter. Evaluation of each profile by an evaluation rule. Determination the profile of which is optimal for replacing an orthodontic appliance with an aligner.

Abstract: 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.

Abstract: A method for acquiring a set of images covering a target belonging to an object in the mouth of a user, the method comprising the following steps: 1) presenting to the user, on a screen and using spatially augmented reality with respect to the object in the mouth observed by an image acquisition apparatus, a multidimensional symbol or a set of multidimensional symbols the shape and/or the position of each symbol being determined so as to indicate to the user at least one predetermined acquisition condition suitable for acquiring such an image; 2) for each symbol, acquiring, using the acquisition apparatus, such an image when said at least one predetermined acquisition condition associated with said symbol is met, preferably when all the predetermined acquisition conditions associated with said symbol are met.

Abstract: A method for analyzing a real dental situation of a patient. The method includes steps, as follows, in succession. At an updated instant, acquisition of an updated image representing a real dental scene as observed by an operator. Simulation, for a simulation instant, of the real dental scene represented on the updated image, then determination of a virtual dental scene as a function of the simulation. Presentation of the virtual dental scene in transparent mode and overlaid on the real dental scene, or display of the updated image on a screen and presentation of the virtual dental scene overlaid with the representation of the real dental scene on the updated image displayed on the screen, in transparent mode or not on the representation.

Abstract: A method for analyzing an image, called “analysis image”, of a dental arch of a patient. The method in which the analysis image is submitted to a neural network, in order to determine at least one value of an image attribute relating to the analysis image. The analysis image is a photograph or an image taken from a film. The image attribute relates to a position or an orientation or a calibration of an acquisition apparatus used to acquire the analysis image or a combination thereof, or a quality of the analysis image, and in particular relating to the brightness, to the contrast or to the sharpness of the analysis image, or a combination thereof.

Abstract: The invention relates to a spacer (1, 1?, 1?, 1??) comprising: —a tubular portion (3) having a longitudinal axis (X); —a support assembly (7) attached to the tubular portion comprising two wings (9) having free ends (11), the support assembly being elastically deformable when pressure is applied to the wings in the direction of the longitudinal axis so as to rotate the free ends about a center of rotation (R) between a rest configuration in which the distance between the free ends is at its maximum and a contracted configuration, the center of rotation of the free ends being located, in the rest configuration, at a distance from the edge, measured in a direction parallel to the longitudinal axis, of 2 cm or less, preferably 1 cm or less or 0.5 cm or less.

Abstract: A method for scanning a dental arch of a user, the method comprising: a prior step of generating a reference representation, then-a plurality of cycles of the following steps a) to d): a) acquisition of an updated image by the user by means of an image acquisition apparatus; b) analysis of the updated image in order to identify the surface of the updated image that represents the dental arch of the user, referred to as “acquired 2D surface”, then outlining and labeling a surface of the reference representation that corresponds to the acquired 2D surface, or “elementary labeled region”, and adding the elementary labeled region to a “labeled region of the reference representation” that brings together all the elementary labeled regions; c) determining and presenting guide information for guiding towards new acquisition conditions; d) preferably moving the acquisition apparatus towards said new acquisition conditions.

Abstract: A method for providing orthodontic treatment. Providing a treatment plan for a first person based on a first representation of the first person's dental arch. Providing a plurality of substantially transparent dental aligners. Instructing the taking of a plurality of images of at least a portion of the first person's dental arch with a mobile device associated with the first person. Receiving by a second application an output relating to an analysis of at least one image of the plurality of images of at least a portion of the first person's dental arch from a deep learning device capable of evaluating the fit of the at least one of the plurality of substantially transparent dental aligners for a current stage of the orthodontic treatment. Displaying at the mobile device a message related to the analysis. Performing some steps times.

Abstract: A method for generating an image of a dental arch of a beneficiary, called “modified image.” The method includes, at an acquisition time, acquiring a photo depicting the dental arch, called “original image.” The method successively includes processing the original image such that it depicts discriminating information. The method successively includes submitting the original image at the input of a neural network, called “simulation neural network”, trained, based on the original image, to simulate, on the original image, the effect of a dental event, in order to obtain the modified image.

Abstract: A method for generating a plan for the orthodontic treatment of a user's dental arch, comprising the following consecutive steps: a) generating an initial model and a final model representing the dental arch at an initial moment and a final moment; b) determining, using a computer, a deformation scenario that transforms, through the movement of the tooth models, the initial model into the final model; c) determining, using the computer, —a duration for performing the deformation scenario; and —intermediate moments between the initial moment and the final moment for performing the deformation of the dental arch according to the deformation scenario.

Abstract: Method of analysis of a diagnostic dental representation showing a dental arch of a current patient in several dimensions. The method includes creation of a learning base including more than 1,000 historical dental structures. Each historical dental structure includes a historical dental representation showing an arch of a historical patient in several dimensions and a historical specification containing a value for at least a first attribute relating to a dental object associated with the historical dental representation. The method includes training of at least one deep learning device by use of the learning base. The method includes submission of the diagnostic dental representation to the deep learning device in such a manner that it determines, for the diagnostic dental representation, at least one value for the first attribute.

Abstract: A method for analyzing an image, called “analysis image”, of a dental arch of a patient. The method in which the analysis image is submitted to a neural network, in order to determine at least one value of an image attribute relating to the analysis image. The analysis image is a photograph or an image taken from a film. The image attribute relates to a position or an orientation or a calibration of an acquisition apparatus used to acquire the analysis image or a combination thereof, or a quality of the analysis image, and in particular relating to the brightness, to the contrast or to the sharpness of the analysis image, or a combination thereof.

Abstract: A method for acquiring at least one image of at least one dental arch of a user (U) by means of a mobile telephone (12?) and an acquisition tool (31?) comprising an acquisition head (32?) provided with a camera (33?), wherein method the acquisition head: —acquires said image and transmits it to the mobile telephone, or —acquires a signal and transfers the signal to the mobile telephone in order that said mobile telephone generates the image from the signal, autonomously or with the aid of a computer with which said mobile telephone is in communication, the method including, after said acquisition step, an analysis of said image so as to define the dental situation of the user and/or to check the proper implementation of an ongoing active or passive orthodontic treatment.

Abstract: Imaging device to acquire dental image having a support. The device includes a rigid portion on which an acquisition apparatus is to be fastened and a deformable portion defining a retractor opening. Associated method to manufacture a support of an imaging device to acquire dental image. The method includes manufacturing of a precursor of the support, in a first place, and providing the precursor to an operator, in a second place away from the first place. The distance between the first place and the second place is preferably greater than 1 km and/or less than 20 000 km. The method includes transformation of the precursor into the support.

Abstract: A method for assessing the shape of an orthodontic aligner, said method comprising the following steps: a?) acquisition of at least one image at least partially representing the aligner in a service position in which it is worn by a patient, called “analysis image”; b?) analysis of the analysis image by means of a deep learning device, preferably a neural network, trained by means of a learning base, so as to determine a value for at least one tooth attribute of an “analysis tooth zone” representing, at least partially, a tooth on said analysis image, the tooth attribute relating to a separation between the tooth represented by the analysis tooth zone, and the aligner represented on the analysis image, and/or for an image attribute of the analysis image, the image attribute relating to a separation between at least one tooth represented on the analysis image, and the aligner represented on said analysis image.