The present invention relates to a method for fabricating a dental restoration, comprising the steps of rendering (S101) a first digital tooth model with a first material combination for generating a first actual data set representing the optical properties of the first digital tooth model; determining (S102) a first deviation between a target data set and the first actual data set; rendering (S103) a second digital tooth model based on a second combination of materials to generate a second actual data set representing the optical properties of the second digital tooth model; determining (S104) a second deviation between the target data set and the second actual data set; and fabricating (S105) the dental restoration based on the first digital tooth model when the first deviation is less than the second deviation and fabricating the dental restoration based on the second digital tooth model when the second deviation is less than the first deviation.

Disclosed is an apparatus for cleaning periodontal pockets configured to be inserted into the periodontal pockets formed at boundaries between teeth and gums so as to clean the periodontal pockets, the apparatus includes a customized frame configured to have a structure which the user puts in a mouth thereof and manufactured to match shapes of teeth and gums of a user, and inserts provided inside the frame and arranged at the boundaries between the teeth and the gums of the user so as to clean the periodontal pockets, and the inserts are formed at different positions for respective teeth of the user so as to correspond to the boundaries of the teeth and the gums, so that the inserts are capable of being inserted into the periodontal pockets despite differences in positions of the periodontal pockets of the respective teeth.

A method and a system for determining a bite position between arch forms of a subject. The method comprises: receiving a 3D model including a first portion and a second portion respectively representative of lower and upper arch forms of the subject; determining, a respective distance value from each point of the first portion to the second portion; determining, for each point of the first portion, a respective weight value, thereby determining a respective weighted distance value; aggregating respective weighted distance values associated with each point of the first portion to determine an aggregate distance value being a remoteness measure between the first portion and the second portion; and determining the bite position based on the aggregate distance value.

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.

A phantom model of teeth set, a method for evaluating the scanning accuracy of a scanner using the same model, and a method for evaluating the 3D printing precision of a printer using the same model is disclosed. The disclosed phantom model of teeth set comprises a base layer and a layer of teeth set comprising a tooth model as positioned on the base layer, and the tooth model may be constructed such that a shape observed in one direction differs from shapes viewed in the other direction.

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.

An implant-supported denture placement and alignment system may include a denture apparatus. The denture apparatus may have a denture base and a denture base positioning system. The denture base may be connectable to implants. Moreover, the denture base positioning system may position the denture base in substantially the same position as a surgical guide used to place the implants. In this manner, the denture apparatus may be positioned so that it is mountable to the implants placed according to the surgical guide following their placement in a patient's mouth. In this manner, variations in the placement of the implants arising during the process of installing the implants may be compensated by transferring the actual implant positioning to the denture apparatus when it is positioned by the denture base positioning system.

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.

A system including a sensored ablation probe tip and a virtual stent, said sensored ablation probe tip for use in a tooth bud ablation procedure that results in tooth agenesis, said sensored ablation probe tip for use with an ablation probe unit. A system including a sensored ablation probe tip and a stent, said sensored ablation probe tip for use in a tooth bud ablation procedure that results in tooth agenesis, said sensored ablation probe tip for use with an ablation probe unit

An abutment is provided with a screw access hole and a slot in its sidewall adapted to allow a driver to access a screw in the screw access hole at an angle relative to a longitudinal axis of the screw. The abutment may include a screw seat and may be connected to an implant via a screw in the screw seat. A prosthesis, which may include a driver access channel that has a diameter less than the outer diameter of the drive portion of the screw, may be placed over the abutment. Methods of making a dental prosthesis and methods of attaching and removing the dental prosthesis from the implant are also disclosed.