Abstract: A method for modeling a dental arch of a patient. Creation of a historical library including more than 1000 historical tooth models, and assignment, to each historical tooth model, of a value for at least one tooth attribute value. Analysis of at least one analysis image of the dental arch by means of a deep learning device so as to determine at least one analysis tooth zone and at least one tooth attribute value. For each analysis tooth zone determined in the preceding step, search, in the historical library, for a historical tooth model exhibiting a maximal proximity with the analysis image. Arrangement of all of the optimal tooth models so as to create an assembled model which exhibits a maximal proximity Some optionally steps are possible.

Abstract: A device including a camera, a processing unit and a screen. The camera configured to, at an updated instant, acquire, by a cellphone or a tablet, an updated image representing a real dental scene. The processing unit configured to determine a virtual dental scene as a representation of the real scene on the updated image and identify an element of the virtual scene which does not comply with an assessment criterion, and highlighting and/or adding a message regarding this element in the virtual scene. The screen configured to display the updated image and present the virtual scene overlaid with the representation of the real scene on the updated image displayed on the screen, in transparent mode or not on the representation. The processing unit, the camera and the screen are configured to communicate with one another. The patient acquires the updated image and observes the screen.

Abstract: A method for monitoring the positioning of the teeth including production of a three-dimensional digital initial reference model of the arches of the patient and, for each tooth, definition, from the initial reference model, of a three-dimensional digital reference tooth model; acquisition of updated image of at least one two-dimensional image of the arches in actual acquisition conditions; analysis of each updated image and production, for each updated image, of an updated map; optionally, determination, for each updated image, of rough virtual acquisition conditions approximating the actual acquisition conditions; searching, for each updated image, for a final reference model corresponding to the positioning of the teeth during the acquisition of the updated image, for each tooth model, comparison of the positionings of the tooth model in the initial reference model and in the reference model obtained at the end of the preceding steps to determine the movement of the teeth.

Abstract: A method for analyzing a photo to be analyzed representing a dental scene to be analyzed. Submission, to the trained second neural network, of the photo to be analyzed, so as to obtain a descriptor of the photo. The second neural network being trained via a historical learning base including more than 1000 created historical records added in the historical learning base. The historical record including a final image and of a created descriptor of the final image called “final descriptor.” The final image representing, hyper-realistically, the source dental scene after a simulation of a dental event, and being obtained by submitting, a source photo representing a source dental scene in a dental context, to a first neural network trained to transform first photos of first dental scenes into first hyper-realistic images to simulate the effect of a dental event on the first dental scenes.

Abstract: A method for evaluating, by computer, at an “updated” time, the conformity of an orthodontic aligner with a dental arch of a patient, referred to as the “support arch.” The method includes the following successive steps: A) producing a digital three-dimensional model of the support arch in its configuration at the updated time, or an “updated reference model”, and determining from the updated reference model, a support surface for the aligner; B) deforming the support surface on the basis of the geometry of the aligner in order to obtain a deformed support surface; C) comparing an external surface of the aligner with the deformed support surface, then determining, on the basis of the comparison, at least one score for the conformity of the aligner with the support arch.

Abstract: A method for enriching a historical learning base. Training of a first neural network to transform first photos of first dental scenes into first hyper-realistic images to simulate the effect of a dental event on the first dental scenes. Submission, to the trained first neural network, of a source photo representing a source dental scene in a dental context, so as to obtain a final image representing, hyper-realistically, the source dental scene after simulation of the dental event. Creation of a descriptor of the final image, or “final descriptor.” Creation of a historical record consisting of the final image and the final descriptor, and addition of the historical record in the historical learning base.

Abstract: A method for generating a 3D digital, updated, model of a dental arch, including: Acquiring at least one updated image. Each updated image representing an active aligner attached, in an operating position, to a dental arch, or ‘image with aligner’, or representing the dental arch without an aligner, or ‘image of uncovered teeth’. Searching in an updated image, referred to as the ‘updated analysis image’, for representations of teeth that are non-compliant with the treatment scenario. If one or more non-compliant teeth are identified, determining, depending on the updated time, one of an intermediate models, or ‘active intermediate model’, then identifying one or more models of teeth representing the noncompliant tooth or teeth, respectively, in the active intermediate model. Deforming the active intermediate model until an updated model is obtained that is compatible with at least one of the updated images.

Abstract: A system for evaluating an orthodontic appliance. A mobile telephone for, at an “appliance” instant, acquisition of at least one two-dimensional image (“appliance image”) of teeth at least partially representing the appliance in a service position worn by the teeth, and, at a “dentition” instant, acquisition of at least one two-dimensional image (“dentition image”) of the teeth. A computer programmed to execute, for each of a plurality of teeth represented on the at least one dentition and appliance images, the following: determination of dental and appliance attributes relative to the shape of a tooth represented on the at least one dentition image and relative to the shape of the orthodontic appliance on the at least one appliance image, respectively, and comparison of the dental and appliance attributes, followed by determination of at least a decision or at least one score according to the comparison.

Abstract: A method for evaluating an orthodontic appliance. Acquisition of a two-dimensional “appliance image” of teeth at least partially representing the orthodontic appliance in a service position. Acquisition of a two-dimensional “dentition image” of the teeth. If a determination of comparable dental and appliance attributes is not possible from the appliance image and from the dentition image, respectively, conversion of the appliance image and/or of the dentition image so that the appliance image be compatible with the dentition image. Determination of dental and appliance attributes relative to the shape of the tooth represented on the dentition image and relative to the shape of the orthodontic appliance on the appliance image. Comparison of the dental and appliance attributes, followed by determination of at least one score. At least one image is acquired with a mobile phone.

Abstract: A method for determining a contour of the representation, on a photo of an object made up of one or several elements, referred to as an “actual contour.” The method includes the following steps: 1) application of a first treatment to the photo so as to obtain a first image representing a first contour of the object; 2) application of a second treatment to the photo so as to obtain a second image representing a second contour of the object; 3) association, according to a predetermined association algorithm, of each point of the second contour with a point of the first respective contour, then removal of the points of the first contour that have not been associated with a point of the second contour, the first image then representing a corrected contour of the object.

Abstract: A method for generating a 3D digital, updated, model of a dental arch, including: Acquiring at least one updated image. Each updated image representing an active aligner attached, in an operating position, to a dental arch, or ‘image with aligner’, or representing the dental arch without an aligner, or ‘image of uncovered teeth’. Searching in an updated image, referred to as the ‘updated analysis image’, for representations of teeth that are non-compliant with the treatment scenario. If one or more non-compliant teeth are identified, determining, depending on the updated time, one of an intermediate models, or ‘active intermediate model’, then identifying one or more models of teeth representing the noncompliant tooth or teeth, respectively, in the active intermediate model. Deforming the active intermediate model until an updated model is obtained that is compatible with at least one of the updated images.

Abstract: A method and associated system. Such is for orthodontic treatment or for assessing shape of an aligner. Within an example, there is participation in communication of an assessment of the suitability of an aligner as a function of the value of: a tooth attribute of an analysis tooth zone of an 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, or an image attribute of an analysis image, the image attribute relating to a separation between at least one tooth represented on the analysis image and the aligner represented on the analysis image. The analysis image is an image of an aligner in a service position in which it is worn by the patient acquired by a cellphone more than 1 week, and is a photograph, or an image extracted from a film.

Abstract: A method and associated system. Such is for orthodontic treatment or for assessing shape of an aligner. Within an example, there is participation in communication of an assessment of the suitability of an aligner as a function of the value of: a tooth attribute of an analysis tooth zone of an 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, or an image attribute of an analysis image, the image attribute relating to a separation between at least one tooth represented on the analysis image and the aligner represented on the analysis image. The analysis image is an image of an aligner in a service position in which it is worn by the patient acquired by a cellphone more than 1 week, and is a photograph, or an image extracted from a film.

Abstract: Method of enrichment of a reference model to be enriched representing a dental arch. Acquisition, under first real conditions, of a current image of the arch displaying one region. Exploration of the reference model in such a manner as to determine a first view of the reference model, in a first direction of observation the reference image exhibiting a maximum match with the current image. Determination, by comparison of the images, of a first orphan point represented on the current image and not represented on the reference image when the current image is in a first register position in which it is superposed, in the space of the reference model, with the reference image. Addition, in the reference model, of a point on a first straight line parallel to the first direction of observation and passing through the first orphan point in the first register position.

Abstract: A method for transforming an “original” view of an “original” digital three-dimensional model into a hyper-realistic view. The method includes creating a “transformation” learning base of more than 1000 “transformation” records. Each transformation record includes a “transformation” photo representing a scene, and a view of a “transformation” digital three-dimensional model modeling the scene, or “transformation view”, the transformation view representing the scene in the same way as the transformation photo. The method includes training at least one “transformation” neural network, by way of the transformation learning base. The method includes submitting the original view to the at least one transformation neural network, such that it transforms it into a hyper-realistic view.

Abstract: Method for evaluating a dental situation of a patient. The method having the following successive steps: 1) generating an initial model of at least one dental arch of the patient, preferably by means of a scanner; 2) splitting the initial model in order to define a tooth model for at least some of the teeth represented on the initial model and thereby to obtain a split model; 3) determining an initial support curve of the tooth models in the split model; 4) fixing each tooth model virtually on the initial support curve, preferably by computer; 5) modifying the split model by deformation of the initial support curve according to a deformed support curve, so as to obtain a first deformed model, in which the tooth models are aligned according to the deformed support curve; 6) presenting the first deformed model.

Abstract: Method of enrichment of a reference model to be enriched representing a dental arch. Acquisition, under first real conditions, of a current image of the arch displaying one region. Exploration of the reference model in such a manner as to determine a first view of the reference model, in a first direction of observation the reference image exhibiting a maximum match with the current image. Determination, by comparison of the images, of a first orphan point represented on the current image and not represented on the reference image when the current image is in a first register position in which it is superposed, in the space of the reference model, with the reference image. Addition, in the reference model, of a point on a first straight line parallel to the first direction of observation and passing through the first orphan point in the first register position.

Abstract: A method and associated system. Such is for orthodontic treatment or for assessing shape of an aligner. Within an example, there is participation in communication of an assessment of the suitability of an aligner as a function of the value of: a tooth attribute of an analysis tooth zone of an 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, or an image attribute of an analysis image, the image attribute relating to a separation between at least one tooth represented on the analysis image and the aligner represented on the analysis image. The analysis image is an image of an aligner in a service position in which it is worn by the patient acquired by a cellphone more than 1 week, and is a photograph, or an image extracted from a film.

Abstract: A method for generating a three-dimensional digital model of a dental arch of a patient. The method includes projection of at least one light beam onto the arch, so as to draw at least one light mark on the arch, and simultaneously, displacement of the arch across the beam and acquisition, during the displacement, of a series of updated images of the arch each showing an updated projection defined by the projected mark. The method includes identification of the updated projection on each updated image, then search for a three-dimensional digital model, called “updated model”, exhibiting a best fit with all the updated projections.

Abstract: A method and associated system. Such is for orthodontic treatment or for assessing shape of an aligner. Within an example, there is participation in communication of an assessment of the suitability of an aligner as a function of the value of: a tooth attribute of an analysis tooth zone of an 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, or an image attribute of an analysis image, the image attribute relating to a separation between at least one tooth represented on the analysis image and the aligner represented on the analysis image. The analysis image is an image of an aligner in a service position in which it is worn by the patient acquired by a cellphone more than 1 week, and is a photograph, or an image extracted from a film.