PATENT CLAIM ANALYSIS

Application Number: 15942341
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["700", "098000"]

Abstract:
The example systems, methods, and/or computer-readable media described herein help with design of highly accurate models of un-erupted or partially erupted teeth and help fabricate of aligners for un-erupted or partially erupted teeth. Automated agents that use machine learning models to parametrically represent three-dimensional (3d) virtual representations of teeth as 3D descriptors in a 3D descriptor space are provided herein. In some implementations, the automated agents described herein provide instructions to fabricate aligners for at least partially un-erupted teeth using representative 3D descriptor(s) of a tooth type.

Claim (Index 20):
The system of  claim 19 , wherein the computer-implemented method further comprises:\n gathering a second anatomical tooth identifier of the tooth type, the second anatomical tooth identifier forming a basis to identify the tooth type; gathering, using the second anatomical tooth identifier, the plurality of 3D virtual representations of a plurality of teeth from a plurality of subjects, identifying the plurality of virtual surface contours for the tooth type; identifying the plurality of 3D descriptors to parametrically represent the plurality of virtual surface contours according to the plurality of spatial parameters; identifying a descriptor location in the 3D descriptor space of each of the plurality of 3D descriptors; assigning a descriptor distance to each of the plurality of 3D descriptors, the descriptor distance representing a difference between the descriptor location of the each 3D descriptor and the descriptor location of a rest of the plurality of 3D descriptors; and identifying the representative 3D descriptor for the tooth type by finding a minimum descriptor distance between two or more of the plurality of 3D descriptors.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 90.0
- Lexical Diversity: 1.50769
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15676819', '14541021', '12011941', '10447099', '13859204']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4617537697158613
- 35 USC 102 Novelty (BERT): 0.5010564435891968
- Combined Prediction Score: 0.4656840371031948
- Mean Citation Score: 242.61945
- Max Citation Score: 266.72623
- Similarity Product: 177.65665066383002

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test