Patient-specific dental prosthesis and gingival contouring developed by predictive modeling
A method of designing a patient-specific prosthesis for a current patient includes receiving scan data of a mouth of the current patient to identify conditions at a location at which the patient-specific prosthesis is to be placed on a dental implant, and determining at least two clinical factors for the current patient. The method further includes identifying a desired outcome for soft tissue for the current patient at the location, and accessing a database having soft-tissue-outcome information for each of a plurality of previous patients. The database further includes clinical-factor information for each of the plurality of previous patients. Based on the soft-tissue-outcome information and the clinical-factor information for at least one of the plurality of previous patients being related to the current patient's desired outcome and the current patient's at least two clinical factors, the method includes developing a design for the patient-specific prosthesis for the current patient.
1. A method of designing and fabricating a dental prosthesis for a current patient, comprising:
receiving, at processing circuitry, scan data, the scan data including information on a location of a dental implant installed in the current patient's mouth below a soft tissue of the current patent to identify conditions at a location at which the dental prosthesis is to be placed on the dental implant;
identifying, within a database with the processing circuitry, a previous patient from a plurality of previous patients that has an actual prosthesis and an actual soft-tissue outcome that are similar to a desired soft-tissue outcome and a virtual prosthesis for the current patient, wherein the actual soft-tissue outcome includes information on soft-tissue contour, soft-tissue height, and/or soft-tissue inter-papillae fullness, and wherein the identifying includes comparing a subgingival portion of the virtual prosthesis to subgingival portions of the actual prostheses used on the plurality of previous patients;
displaying, on a display device, a virtual model of the patient's mouth based on the scan data, the virtual model of the patient's mouth including the dental implant;
using design features from the actual prosthesis from the identified previous patient to develop using the processing circuitry a final design for the dental prosthesis for the current patient;
displaying, on the display device, the final design of the dental prosthesis in conjunction with the virtual model of the patient's mouth; and
manufacturing the dental prosthesis based on the final design for the dental prosthesis for the current patient.
2. The method of claim 1 , wherein the virtual prosthesis is a prosthesis shell that outlines an estimated volume to be occupied by the dental prosthesis for the current patient.
3. The method of claim 1 , wherein the design features from the actual prosthesis relate to dimensions of an abutment that is part of the actual prosthesis.
4. The method of claim 1 , wherein the design features from the actual prosthesis relate to materials for an abutment that is part of the actual prosthesis.
5. The method of claim 1 , wherein the design features from the actual prosthesis relate to a type of microstructure for an abutment that is part of the actual prosthesis.
6. The method of claim 1 , wherein information within the database for the previous patient indicates that the actual soft-tissue outcome for the previous patient occurred in a predicted manner, and the identifying includes identifying previous patients with actual soft-tissue outcomes that occurred in a predicted manner.
7. The method of claim 1 , further comprising determining a plurality of clinical factors for the current patient that relate to the desired soft-tissue outcome for the patient, wherein the plurality of clinical factors for the current patient are selected from the group consisting of bone-tissue type, replaced-tooth location, implant-placement location, loading timeframe, age, sex, race, and soft-tissue displacement.