PATENT CLAIM ANALYSIS

Application Number: 15907106
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["433", "024000"]

Abstract:
Systems and methods are disclosed to prevent interference between two physical tooth models in a physical dental arch model by acquiring the coordinates of a plurality of points on the surfaces of each of the two physical tooth models and digitally representing the surfaces of each of the two physical tooth models by a mesh of points in three dimensions using the acquired coordinates. The meshes representing the surfaces of the two physical tooth models intersect at least at one point to form an overlapping portion. The method also includes calculating the depth of the overlapping portion between the two meshes to quantify the interference of the two physical tooth models.

Claim (Index 12):
A method of determining interference between two or more tooth models in a dental arch model, the method comprising:\n receiving a digital model of a base for a dental arch, wherein the digital model of the base comprises one or more receiving features; receiving digital models of two or more teeth; adding a registration feature to each of the digital models of two or more teeth; positioning the digital models of the two or more teeth with respect to the base of a dental arch model in a first configuration; predicting an interference between the digital models of two or more teeth in the first configuration; and modifying the first configuration to a second different configuration of the digital model of two or more teeth such that the interference between the digital models of the two or more teeth is avoided when the registration features of the digital model of the two or more teeth are received by the one or more receiving features of the base.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 88.0
- Lexical Diversity: 2.15094
- Patent Class: 433.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13241090', '14641926', '15369145', '11013154', '11933381']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7487711376144961
- 35 USC 102 Novelty (BERT): 0.568485743673397
- Combined Prediction Score: 0.7307425982203862
- Mean Citation Score: 477.31794400000007
- Max Citation Score: 487.74203
- Similarity Product: 430.77140111200094

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test