Abstract: Embodiments for determining a dental treatment difficulty are described herein. One method embodiment includes receiving an initial and subsequent position of each of a first tooth and a second tooth and calculating a change in position of each of the first tooth and the second tooth. The method embodiment can also include projecting the changes in position of each of the first tooth and the second tooth onto a reference line and calculating a change in position on the reference line for the first tooth and the second tooth. The method embodiment can further include determining the dental treatment difficulty based on the changes in position on the reference line.

Abstract: Embodiments are provided for digital dental modeling. One method embodiment includes receiving a three-dimensional data set including a first jaw and a second jaw of a three-dimensional digital dental model and receiving a two-dimensional data set corresponding to at least a portion of the first jaw and the second jaw. The method includes mapping two-dimensional data of the two-dimensional data set to the three-dimensional digital dental model by transforming a coordinate system of the two-dimensional data to a coordinate system of the three-dimensional data set. The method includes positioning the first jaw with respect to the second jaw based on the two-dimensional data mapped to the three-dimensional data set. The method includes using at least a portion of the two-dimensional data mapped to the three-dimensional data set as a target of movement of the first jaw with respect to the second jaw in the three-dimensional digital dental model.

Abstract: Embodiments are provided for digital dental modeling. One method embodiment includes receiving a three-dimensional data set including a first jaw and a second jaw of a three-dimensional digital dental model and receiving a two-dimensional data set corresponding to at least a portion of the first jaw and the second jaw. The method includes mapping two-dimensional data of the two-dimensional data set to the three-dimensional digital dental model by transforming a coordinate system of the two-dimensional data to a coordinate system of the three-dimensional data set. The method includes positioning the first jaw with respect to the second jaw based on the two-dimensional data mapped to the three-dimensional data set. The method includes using at least a portion of the two-dimensional data mapped to the three-dimensional data set as a target of movement of the first jaw with respect to the second jaw in the three-dimensional digital dental model.

Abstract: Embodiments for determining a dental treatment difficulty are described herein. One method embodiment includes receiving an initial and subsequent position of each of a first tooth and a second tooth and calculating a change in position of each of the first tooth and the second tooth. The method embodiment can also include projecting the changes in position of each of the first tooth and the second tooth onto a reference line and calculating a change in position on the reference line for the first tooth and the second tooth. The method embodiment can further include determining the dental treatment difficulty based on the changes in position on the reference line.

Abstract: The present disclosure provides methods, computing device readable medium, devices, and systems that utilize a cheek retractor and/or a mobile device holder for case assessment and/or dental treatments. One cheek retractor includes a first and a second lip holder, both including imaging markers of a predetermined size to determine a scale of teeth of a user, where each imaging marker is located a predefined distance from the remaining imaging markers, and where the lip holder is to hold a cheek away from a mouth of a user to expose teeth of the user. A mobile device holder can include elements to receive a mobile device to capture images of the patient's teeth.

Abstract: A computer readable medium comprises instructions that, when executed by one or more processor, cause the one or more processor to receive image data of an actual condition of a patient's dental arch at a stage of an orthodontic treatment plan, compare the image data of the actual condition of the patient's dental arch to a planned condition of the patient's dental arch for the stage of the orthodontic treatment plan, identify one or more clinical signs that the actual condition of the patient's dental arch has a deviation from the planned condition of the patient's dental arch for the stage of the orthodontic treatment plan based on a result of the comparing, and determine one or more corrective actions for the orthodontic treatment.

Abstract: A processing device receives image data of an actual condition of a patient's dental arch at an intermediate stage of a multistage orthodontic treatment plan. The processing device compares the image data of the actual condition of the patient's dental arch to a planned condition of the patient's dental arch for the intermediate stage. The processing device identifies one or more clinical signs that the actual condition of the patient's dental arch has a deviation from the planned condition of the patient's dental arch for the intermediate stage of the multi-stage orthodontic treatment plan based on a result of the comparing. The processing device determines one or more probable root causes for the deviation based on the one or more clinical signs. The processing device additionally determines one or more corrective actions for the multi-stage orthodontic treatment plan based on the one or more probable root causes.

Abstract: Methods and systems for improving segmentation of a digital model of a patient's dentition into component teeth.

Abstract: Methods and apparatuses for automatic treatment planning, including recommendation systems, quality assurance, error prevention, text mining, text matching, and treatment planning optimization.

Abstract: The present disclosure provides methods, computing device readable medium, devices, and systems that utilize a cheek retractor and/or a mobile device holder for case assessment and/or dental treatments. One cheek retractor includes a first and a second lip holder, both including imaging markers of a predetermined size to determine a scale of teeth of a user, where each imaging marker is located a predefined distance from the remaining imaging markers, and where the lip holder is to hold a cheek away from a mouth of a user to expose teeth of the user. A mobile device holder can include elements to receive a mobile device to capture images of the patient's teeth.

Abstract: Embodiments are provided for digital dental modeling. One method embodiment includes receiving a three-dimensional data set including a first jaw and a second jaw of a three-dimensional digital dental model and receiving a two-dimensional data set corresponding to at least a portion of the first jaw and the second jaw. The method includes mapping two-dimensional data of the two-dimensional data set to the three-dimensional digital dental model by transforming a coordinate system of the two-dimensional data to a coordinate system of the three-dimensional data set. The method includes positioning the first jaw with respect to the second jaw based on the two-dimensional data mapped to the three-dimensional data set. The method includes using at least a portion of the two-dimensional data mapped to the three-dimensional data set as a target of movement of the first jaw with respect to the second jaw in the three-dimensional digital dental model.

Abstract: A method includes to receive, via a computing device, data representing a plurality of teeth, identify data indicating which of the plurality of teeth are unerupted or erupting, predict at least one characteristic of a tooth of the unerupted or erupting teeth after they have fully erupted using one or more tooth eruption prediction factors, generate new data representing the unerupted or erupting teeth in multiple states of eruption based upon the predicted at least one characteristic of the fully erupted teeth, and generate a series of incremental tooth arrangements with the new data to define a proposed orthodontic treatment based on the new data representing the unerupted or erupting teeth in multiple states of eruption.

Abstract: Embodiments are provided for digital dental modeling. One method embodiment includes receiving a three-dimensional data set including a first jaw and a second jaw of a three-dimensional digital dental model and receiving a two-dimensional data set corresponding to at least a portion of the first jaw and the second jaw. The method includes mapping two-dimensional data of the two-dimensional data set to the three-dimensional digital dental model by transforming a coordinate system of the two-dimensional data to a coordinate system of the three-dimensional data set. The method includes positioning the first jaw with respect to the second jaw based on the two-dimensional data mapped to the three-dimensional data set. The method includes using at least a portion of the two-dimensional data mapped to the three-dimensional data set as a target of movement of the first jaw with respect to the second jaw in the three-dimensional digital dental model.

Abstract: Provided herein are systems and methods for determining if a 3D tooth model requires trimming or removal of incomplete or missing data (e.g., gingiva covering a portion of a tooth such as a molar). A patient's dentition may be scanned and/or segmented. Raw dental features, principal component analysis (PCA) features, and/or other features may be extracted and compared to those of other teeth, such as those obtained through automated machine learning systems. A classifier can identify and/or output probability that the 3D tooth model requires trimming. Trimming of the 3D tooth model can be implemented without human intervention.

Abstract: Processing logic makes a comparison between first image data and second image data of a dental arch and determines a plurality of spatial differences between a first representation of the dental arch in the first image data and a second representation of the dental arch in the second image data. The processing logic determines that a first spatial difference is attributable to scanner inaccuracy and that a second spatial difference is attributable to a clinical change to the dental arch. The processing logic generates a third representation of the dental arch that is a modified version of the second representation, wherein the first spatial difference is removed in the third representation, and wherein the third representation comprises a visual enhancement that accentuates the second spatial difference.

Abstract: A method includes to receive, via a computing device, data representing a plurality of teeth, identify data indicating which of the plurality of teeth are unerupted or erupting, predict at least one characteristic of a tooth of the unerupted or erupting teeth after they have fully erupted using one or more tooth eruption prediction factors, generate new data representing the unerupted or erupting teeth in multiple states of eruption based upon the predicted at least one characteristic of the fully erupted teeth, and generate a series of incremental tooth arrangements with the new data to define a proposed orthodontic treatment based on the new data representing the unerupted or erupting teeth in multiple states of eruption.

Abstract: Processing logic makes a comparison between first image data and second image data of a dental arch and determines a plurality of spatial differences between a first representation of the dental arch in the first image data and a second representation of the dental arch in the second image data. The processing logic determines that a first spatial difference is attributable to scanner inaccuracy and that a second spatial difference is attributable to a clinical change to the dental arch. The processing logic generates a third representation of the dental arch that is a modified version of the second representation, wherein the first spatial difference is removed in the third representation, and wherein the third representation comprises a visual enhancement that accentuates the second spatial difference.

Abstract: Provided herein are orthodontic devices and methods for patients with missing or ectopic teeth. Methods and processes are provided to properly number the teeth of a patient's arch after a dental scan. Methods and processes are also provided to automatically detect missing or ectopic teeth after a dental scan. Methods of designing and manufacturing the aligner are also provided.

Abstract: Embodiments are provided for tracking teeth movement correction. One method embodiment includes using a set of positioning appliances shaped to move teeth through a number of successive stages of arrangements of an expected teeth arrangement model where each stage corresponds to a particular positioning appliance, mapping a current teeth position based upon positions of a number of physical markers attached to a number of physical teeth, comparing the positions of the number of physical markers with a corresponding number of virtual markers positioned on a number of virtual teeth of a stage in the expected teeth arrangement model, determining whether midcourse correction is needed.

Abstract: Orthodontic and/or dental treatment planning methods and apparatuses. In particular, described herein are methods of generating a plurality of potential treatment plan variations for the concurrent and interactive review of the treatment plan variations. Each variation may be optimized to best address the user's treatment goals, as well as approximating as closely as possible an ideal or target final position. Also described herein are orthodontic and/or dental treatment planning methods and apparatuses that allow a user to form, modify, and select a treatment plan from a plurality of different treatment plans, in real time.