Abstract: A method includes processing an input comprising data from an intraoral image using a trained machine learning model that has been trained to classify regions of dental sites, wherein the trained machine learning model outputs a probability map comprising, for each pixel in the intraoral image, a first probability that the pixel belongs to a first dental class and a second probability that the pixel belongs to a second dental class, wherein the first dental class represents excess material, the excess material comprising material other than teeth or gums. The method further includes determining, based on the probability map, one or more pixels in the intraoral image that are classified as excess material. The method further includes hiding or removing from the intraoral image data for the one or more pixels that are classified as excess material.

Abstract: In some embodiments, a hand controller apparatus for controlling a tool in a robotic surgery system can include a body configured to be moved to generate a first operator input to cause a tool to move corresponding to the movement of the body. The hand controller apparatus can also include an input control interface formed on a surface of the body and configured to sense one or more of a plurality of second operator inputs associated with a plurality of tool functions, the plurality of second operator inputs being different from the first operator input. The hand controller apparatus can also include a processor configured to control the tool to perform one or more of the plurality of tool functions in response to the sensed one or more second operator inputs.

Abstract: In some embodiments, a hand controller apparatus for controlling a tool in a robotic surgery system can include a body configured to be moved to generate a first operator input to cause a tool to move corresponding to the movement of the body. The hand controller apparatus can also include an input control interface formed on a surface of the body and configured to sense one or more of a plurality of second operator inputs associated with a plurality of tool functions, the plurality of second operator inputs being different from the first operator input. The hand controller apparatus can also include a processor configured to control the tool to perform one or more of the plurality of tool functions in response to the sensed one or more second operator inputs.

Abstract: In some embodiments, a hand controller apparatus for controlling a tool in a robotic surgery system can include a body including a proximal end and a distally located interface end configured to be coupled to an input apparatus configured to control a surgical tool. The hand controller apparatus can include a control lever attached to a pivot joint proximate a side surface of the body and extending along the body and away from the proximal end, the control lever being laterally moveable relative to the side surface of the body about the pivot joint. The control lever can include a tail region adjacent to the pivot joint and a paddle region connected to the tail region and extending toward the distally located interface end. The tail region can include an inner surface facing the body and an outer surface opposing the inner surface, and at least part of the outer surface of the tail region can be outwardly curved.

Abstract: In some embodiments, a hand controller apparatus for controlling a tool in a robotic surgery system can include a body including a proximal end and a distally located interface end configured to be coupled to an input apparatus configured to control a surgical tool. The hand controller apparatus can include a feedback device supported by the body and configured to provide feedback to a user in response to a change in a function of the hand controller apparatus from a first mode to a second mode, the second mode different from the first mode. The function can include at least one: controlling a camera that images a surgical site, instrument clutching to reposition the hand controller apparatus, a pre-set surgery routine, or an operation to control the surgical tool. The change from the first mode to the second mode can be configured to occur within the same function.

Abstract: Provided herein are systems and methods for scoring a post-treatment tooth position of a patient's teeth. 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 the post-treatment tooth position of the patient's teeth.

Abstract: A method includes determining, from a first image, a first region comprising teeth, wherein the first region comprises a first set of pixel locations. A first parametric function is generated based on intensities at the first set of pixel locations. Image data comprising new contours of the mouth is received, wherein one or more of the teeth have a different position in the image data than in the first image. A second region comprising the teeth is determined from the image data, wherein the second region comprises a second set of pixel locations for the teeth. A new image is then generated based on the image data and the first parametric function, wherein a shape of the teeth is based on the image data and a color of the teeth is based on applying the first parametric function to the second set of pixel locations for the teeth.

Abstract: A method may include: receiving facial image of the patient that depicts the patient's teeth; receiving a 3D model of the patient's teeth; determining color palette of the depiction of the patient's teeth; coding 3D model of the patient's teeth based on attributes of the 3D model; providing the 3D model, the color palette, and the coded 3D model to a neural network; processing the 3D model, the color palette, and the coded 3D model by the neural network to generate a processed image of the patient's teeth; simulating specular highlights on the processed image of the patient's teeth; and inserting the processed image of the patient's teeth into a mouth opening of the facial image.

Abstract: A foot pedal apparatus for use with a workstation operated by a seated user in controlling a robotic surgery system is disclosed. In some embodiments, the apparatus includes a platform mountable to the workstation proximate a floor surface on which the workstation is located. The apparatus also includes a first pedal mounted on the platform and having an upwardly disposed actuation surface, and a second pedal mounted vertically elevated with respect to the first pedal and having an upwardly disposed actuation surface, the second pedal having at least a proximate portion vertically overlapping a distal portion of the first pedal such that the first and second pedals have a mounted depth in a direction away from the user that is less than a sum of the respective individual depths of the first and second pedals.