Abstract: A method is provided for shaping a custom anterior dental restoration from a preform, wherein the preform comprises a preform body and a preform stem. A method is further disclosed for generating one or more nesting positions for the restoration design within the geometry of the preform body relative to the position of the preform stem. A method is further disclosed for generating machining instructions based on the selected nesting position to optimize machining for chair-side applications.

Abstract: Disclosed herein are example embodiments of methods and systems for identifying manufacturing defects of a manufactured dentition model. One of the methods for performing quality control comprises: determining whether the manufactured dentition model is a good or a defective product based on a statistical characteristic of a differences model. The differences model can be generated based on differences between a scanned 3D patient-dentition data and a scanned 3D manufactured-dentition data. The scanned 3D patient-dentition data can be generated using 3D data of a patient's dentition, and the scanned 3D manufactured-dentition data can be generated using 3D data of the manufactured dentition model. The manufactured dentition model can be a 3D printed model.

Abstract: A computer-implemented method and system of virtual dental restoration design automation includes: receiving a 3D virtual dental model of at least a portion of a patient's dentition, the 3D virtual dental model comprising at least one virtual preparation tooth, the virtual preparation tooth comprising a digital representation of a physical preparation tooth prepared by a dentist; performing an automated virtual restoration design using the 3D virtual dental model; displaying virtually to the dentist one or more physical preparation tooth issues detected while performing the automated virtual restoration design; and displaying virtually to the dentist a generated virtual restoration for one or more adjustments where no physical preparation tooth issues are detected while performing the automated virtual restoration design.

Abstract: A method is provided for shaping a custom anterior dental restoration from a preform, wherein the preform comprises a preform body and a preform stem. A method is further disclosed for generating one or more nesting positions for the restoration design within the geometry of the preform body relative to the position of the preform stem. A method is further disclosed for generating machining instructions based on the selected nesting position to optimize machining for chair-side applications.

Abstract: A method is provided for shaping a custom anterior dental restoration from a preform, wherein the preform comprises a preform body and a preform stem. A method is further disclosed for generating one or more nesting positions for the restoration design within the geometry of the preform body relative to the position of the preform stem. A method is further disclosed for generating machining instructions based on the selected nesting position to optimize machining for chair-side applications.

Abstract: A method is provided for shaping a custom anterior dental restoration from a preform, wherein the preform comprises a preform body and a preform stem. A method is further disclosed for generating one or more nesting positions for the restoration design within the geometry of the preform body relative to the position of the preform stem. A method is further disclosed for generating machining instructions based on the selected nesting position to optimize machining for chair-side applications.

Abstract: Systems and methods are provided for scanning a dental impression to obtain a digital model of a patient's dentition as an input to computer aided design (CAD) and computer aided manufacturing (CAM) methods for producing dental prostheses.

Abstract: Disclosed herein are example embodiments of methods and systems for identifying manufacturing defects of a manufactured dentition model. One of the methods for performing quality control comprises: determining whether the manufactured dentition model is a good or a defective product based on a statistical characteristic of a differences model. The differences model can be generated based on differences between a scanned 3D patient-dentition data and a scanned 3D manufactured-dentition data. The scanned 3D patient-dentition data can be generated using 3D data of a patient's dentition, and the scanned 3D manufactured-dentition data can be generated using 3D data of the manufactured dentition model. The manufactured dentition model can be a 3D printed model.

Abstract: A system is disclosed for processing a plurality of customized dental restorations from individual millable material blocks in an automated process. The system comprises processing units that may comprise one or more of a milling center comprising one or more milling units, a plurality of material blocks a separating unit, a scrap disposal unit, a heating unit and a cooling unit. A carrier for holding a plurality of individual workpieces in spaced arrangement is also disclosed for use in the system.

Abstract: A system is disclosed for processing a plurality of customized dental restorations from individual millable material blocks in an automated process. The system comprises processing units that may comprise one or more of a milling center comprising one or more milling units, a plurality of material blocks a separating unit, a scrap disposal unit, a heating unit and a cooling unit. A carrier for holding a plurality of individual workpieces in spaced arrangement is also disclosed for use in the system.

Abstract: Disclosed herein are example embodiments of methods and systems for identifying manufacturing defects of a manufactured dentition model. One of the methods for performing quality control comprises: determining whether the manufactured dentition model is a good or a defective product based on a statistical characteristic of a differences model. The differences model can be generated based on differences between a scanned 3D patient-dentition data and a scanned 3D manufactured-dentition data. The scanned 3D patient-dentition data can be generated using 3D data of a patient's dentition, and the scanned 3D manufactured-dentition data can be generated using 3D data of the manufactured dentition model. The manufactured dentition model can be a 3D printed model.

Abstract: Disclosed are example embodiments of methods and systems for identifying and quantifying manufacturing defects of a manufactured dental prosthesis. Certain embodiments of the system for performing quality control on manufactured dental prostheses includes: a quality control module configured to determine whether the dental prosthesis is a good or a defective product based at least on a differences model generated by comparing a design model and a scanned model of the manufactured dental prosthesis.

Abstract: Disclosed are example embodiments of methods and systems for identifying and quantifying manufacturing defects of a manufactured dental prosthesis. Certain embodiments of the system for performing quality control on manufactured dental prostheses includes: a quality control module configured to determine whether the dental prosthesis is a good or a defective product based at least on a differences model generated by comparing a design model and a scanned model of the manufactured dental prosthesis.

Abstract: Disclosed are example embodiments of methods and systems for identifying and quantifying manufacturing defects of a manufactured dental prosthesis. Certain embodiments of the system for performing quality control on manufactured dental prostheses includes: an analysis module to best fit a scanned 3D data model of a manufactured dental prosthesis with a computer-aided design (CAD) model of the same manufactured dental prosthesis and to generate a differences model; and a quality controller to determine whether the manufactured dental prosthesis is a good or a defective product based on a statistical characteristic of the differences model.

Abstract: Disclosed are example embodiments of methods and systems for improving teeth appearance and repositioning of the teeth. One of the systems is an appliance that includes: an outer shell with simulated teeth that approximate a final teeth arrangement; and inner cavities configured to receive a patient's teeth and to incrementally reposition the teeth toward the final teeth arrangement.

Abstract: A machinable preform for shaping into dental restorations is described that comprises material having suitable strength for use in dental applications without requiring further processing after shaping to strengthen the material (such as sintering). In one embodiment, a preform is comprised of a machinable dental material having a Vickers hardness value in the range of 4HV GPa to 20HV GPa, and comprises a body and a stem that extends from the outer surface of the body that supports the body during shaping. A method for making the machinable preform, and a kit comprising a machinable preform and a grinding tool, are also described.

Abstract: A method is provided for shaping a custom anterior dental restoration from a preform, wherein the preform comprises a preform body and a preform stem. A method is further disclosed for generating one or more nesting positions for the restoration design within the geometry of the preform body relative to the position of the preform stem. A method is further disclosed for generating machining instructions based on the selected nesting position to optimize machining for chair-side applications.

Abstract: A system is disclosed for processing a plurality of customized dental restorations from individual millable material blocks in an automated process. The system comprises processing units that may comprise one or more of a milling center comprising one or more milling units, a plurality of material blocks a separating unit, a scrap disposal unit, a heating unit and a cooling unit. A carrier for holding a plurality of individual workpieces in spaced arrangement is also disclosed for use in the system.