Abstract: According to the techniques herein, one or more sensors coupled to an aligner are used to sense one or more physical qualities of the aligner to determine whether the physical qualities indicate that the aligner material has relaxed and has, e.g., reduced the force systems applied to teeth and/or that the teeth movement for the stage has slowed down. The sensors may provide a signal that represents whether or not the physical qualities fall below a threshold value. A treatment plan may be modified if needed. These techniques have the potential to make treatment plans faster and more effective by speeding up some stages while making sure some, perhaps other, stages are implemented only after the teeth are near the appropriate position.

Abstract: According to the techniques herein, one or more sensors coupled to an aligner are used to sense one or more physical qualities of the aligner to determine whether the physical qualities indicate that the aligner material has relaxed and has, e.g., reduced the force systems applied to teeth and/or that the teeth movement for the stage has slowed down. The sensors may provide a signal that represents whether or not the physical qualities fall below a threshold value. A treatment plan may be modified if needed. These techniques have the potential to make treatment plans faster and more effective by speeding up some stages while making sure some, perhaps other, stages are implemented only after the teeth are near the appropriate position.

Abstract: Methods for designing orthodontic appliances are provided. In some embodiments, a method includes receiving a treatment plan for a patient's dentition and generating an aligner model representing an aligner configured to implement a treatment stage of the treatment plan. The aligner model can include a thickness map having a thickness parameter for each location of the aligner model. The method can include adjusting the thickness map by using the aligner model to evaluate an outcome when the aligner is applied to the patient's dentition, and iteratively reducing the value of each thickness parameter of the thickness map based on the evaluation until a resulting thickness is determined for each thickness parameter. The method can also include providing instructions to manufacture the aligner based on the aligner model with the resulting thickness for each thickness parameter of the thickness map.

Abstract: Methods and systems for producing orthodontic appliances are provided herein utilizing iterative modeling techniques to increase the efficiency and efficacy of said appliances. Further disclosed herein are the orthodontic appliances fabricated from such methods.

Abstract: Embodiments relate to an aligner breakage solution that tests damage to an aligner using machine learning. A method includes of training a machine learning model to predict damage to an orthodontic aligner includes gathering a training dataset comprising digital designs for a plurality of orthodontic aligners, wherein each digital design is associated with a respective orthodontic aligner of the plurality of orthodontic aligners, and wherein each digital design comprises metadata indicating whether the associated respective orthodontic aligner was damaged during manufacturing of the associated respective orthodontic aligner. The method further includes training the machine learning model using the training dataset, wherein the machine learning model is trained to process data from a digital design for an orthodontic aligner and to output a probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner.

Abstract: Embodiments relate to an aligner breakage solution that tests damage to an aligner using machine learning. A method includes processing data from a digital design for an orthodontic aligner by a trained machine learning model and outputting, by the trained machine learning model, a probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner. The method further includes making a comparison of the probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner to a probability threshold and determining whether the orthodontic aligner is a high risk orthodontic aligner based on a result of the comparison. Responsive to determining that the orthodontic aligner is a high risk orthodontic aligner, the method includes performing at least one of a) a corrective action or b) selecting a manufacturing flow for high risk orthodontic aligners.

Abstract: Embodiments relate to an aligner breakage solution. A method includes obtaining a digital design of a polymeric aligner for a dental arch of a patient. The polymeric aligner is shaped to apply forces to teeth of the dental arch. The method also includes performing an analysis on the digital design of the polymeric aligner using at least one of a) a trained machine learning model, b) a numerical simulation, c) a geometry evaluator or d) a rules engine. The method may also include determining, based on the analysis, whether the digital design of the polymeric aligner includes probable points of damage, wherein for a probable point of damage there is a threshold probability that breakage, deformation, or warpage will occur. The method may also include, responsive to determining that the digital design of the polymeric aligner comprises probable points of damage, performing corrective actions based on the probable points of damage.

Abstract: Methods and apparatuses for 3D imaging to measure the shape of orthodontic aligners, teeth, and other oral structures simultaneously, in-vivo or in-vitro. These methods and apparatuses may be used to determine contact locations of aligners with teeth and/or teeth with other teeth with very high precision, including determining the size of gaps where they are not in contact. These measurements may be used design, modify or replace an aligner and/or to verify aligner fit. 3D models of the whole aligner and teeth may be generated.

Abstract: Methods and apparatuses for 3D imaging to measure the shape of orthodontic aligners, teeth, and other oral structures simultaneously, in-vivo or in-vitro. These methods and apparatuses may be used to determine contact locations of aligners with teeth and/or teeth with other teeth with very high precision, including determining the size of gaps where they are not in contact. These measurements may be used design, modify or replace an aligner and/or to verify aligner fit. 3D models of the whole aligner and teeth may be generated.

Abstract: A processing device receives a pre-treatment model of upper and lower dental arches of a person, the pre-treatment model comprising first positions of teeth, and further receives a post-treatment model of the upper and lower dental arches, the post-treatment model comprising second positions of the teeth. The processing device determines a first mapping between first positions of first landmarks in the pre-treatment model and second positions of the first landmarks in the post-treatment model, and receives an image of a face of the person, comprising at least the teeth and soft facial tissues. The processing device generates a second mapping between the first landmarks and second landmarks associated with the soft facial tissues from the image, and generates a facial model comprising the first mapping and the second mapping, wherein the facial model generates post-treatment images of the teeth and the soft facial tissues based on pre-treatment images.

Abstract: In an example embodiment, a processing device receives a 3D image of a face of a person. The processing device identifies a first plurality of visible landmarks and a second plurality of visible landmarks on the face from the 3D image, wherein the second plurality of visible landmarks are associated with soft facial tissues. The processing device determines a post-treatment arrangement of the first plurality of visible landmarks based on a first mapping between a current dentition of the person and a post-treatment dentition of the person. The processing device determines, based on applying the post-treatment arrangement of the first plurality of visible landmarks to a second mapping between the first plurality of visible landmarks and the second plurality of visible landmarks, a post-treatment shape of the soft facial tissues. The processing device generates a modified version of the 3D image, wherein the soft facial tissues have the post-treatment shape in the modified version of the 3D image.

Abstract: Methods and apparatuses for 3D imaging to measure the shape of orthodontic aligners, teeth, and other oral structures simultaneously, in-vivo or in-vitro. These methods and apparatuses may be used to determine contact locations of aligners with teeth and/or teeth with other teeth with very high precision, including determining the size of gaps where they are not in contact. These measurements may be used design, modify or replace an aligner and/or to verify aligner fit. 3D models of the whole aligner and teeth may be generated.

Abstract: Methods and apparatuses for 3D imaging to measure the shape of orthodontic aligners, teeth, and other oral structures simultaneously, in-vivo or in-vitro. These methods and apparatuses may be used to determine contact locations of aligners with teeth and/or teeth with other teeth with very high precision, including determining the size of gaps where they are not in contact. These measurements may be used design, modify or replace an aligner and/or to verify aligner fit. 3D models of the whole aligner and teeth may be generated.

Abstract: According to the techniques herein, one or more sensors coupled to an aligner are used to sense one or more physical qualities of the aligner to determine whether the physical qualities indicate that the aligner material has relaxed and has, e.g., reduced the force systems applied to teeth and/or that the teeth movement for the stage has slowed down. The sensors may provide a signal that represents whether or not the physical qualities fall below a threshold value. A treatment plan may be modified if needed. These techniques have the potential to make treatment plans faster and more effective by speeding up some stages while making sure some, perhaps other, stages are implemented only after the teeth are near the appropriate position.

Abstract: Methods and systems for producing orthodontic appliances are provided herein utilizing iterative modeling techniques to increase the efficiency and efficacy of said appliances. Further disclosed herein are the orthodontic appliances fabricated from such methods.

Abstract: Selecting an optimal date for a planned event is provided. Event input data is received that includes at least one of a location for a planned event, a range of dates for the planned event, attributes of a target audience for the planned event, and attributes of the planned event. Web search data and social media data corresponding to the received event input data are retrieved. The received event input data and the retrieved web search data and social media data that correspond to the received event input data are analyzed using natural language processing to identify a set of optimal dates to maximize attendance of the target audience at the planned event. The identified set of optimal dates for the planned event is ranked based on weights assigned to each of the attributes of the target audience and the attributes of the planned event.

Abstract: Embodiments relate to an aligner breakage solution that tests damage to an aligner using machine learning. A method includes processing data from a digital design for an orthodontic aligner by a trained machine learning model and outputting, by the trained machine learning model, a probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner. The method further includes making a comparison of the probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner to a probability threshold and determining whether the orthodontic aligner is a high risk orthodontic aligner based on a result of the comparison. Responsive to determining that the orthodontic aligner is a high risk orthodontic aligner, the method includes performing at least one of a) a corrective action or b) selecting a manufacturing flow for high risk orthodontic aligners.

Abstract: Embodiments relate to an aligner breakage solution. A method includes obtaining a digital design of a polymeric aligner for a dental arch of a patient. The polymeric aligner is shaped to apply forces to teeth of the dental arch. The method also includes performing an analysis on the digital design of the polymeric aligner using at least one of a) a trained machine learning model, b) a numerical simulation, c) a geometry evaluator or d) a rules engine. The method may also include determining, based on the analysis, whether the digital design of the polymeric aligner includes probable points of damage, wherein for a probable point of damage there is a threshold probability that breakage, deformation, or warpage will occur. The method may also include, responsive to determining that the digital design of the polymeric aligner comprises probable points of damage, performing corrective actions based on the probable points of damage.

Abstract: Methods and apparatuses for 3D imaging to measure the shape of orthodontic aligners, teeth, and other oral structures simultaneously, in-vivo or in-vitro. These methods and apparatuses may be used to determine contact locations of aligners with teeth and/or teeth with other teeth with very high precision, including determining the size of gaps where they are not in contact. These measurements may be used design, modify or replace an aligner and/or to verify aligner fit. 3D models of the whole aligner and teeth may be generated.

Abstract: In an example embodiment, a processing device receives a 3D image of a face of a person. The processing device identifies a first plurality of visible landmarks and a second plurality of visible landmarks on the face from the 3D image, wherein the second plurality of visible landmarks are associated with soft facial tissues. The processing device determines a post-treatment arrangement of the first plurality of visible landmarks based on a first mapping between a current dentition of the person and a post-treatment dentition of the person. The processing device determines, based on applying the post-treatment arrangement of the first plurality of visible landmarks to a second mapping between the first plurality of visible landmarks and the second plurality of visible landmarks, a post-treatment shape of the soft facial tissues. The processing device generates a modified version of the 3D image, wherein the soft facial tissues have the post-treatment shape in the modified version of the 3D image.