PATENT CLAIM ANALYSIS

Application Number: 16010087
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["433", "024000"]

Abstract:
Provided herein are systems and methods for detecting the eruption state (e.g., tooth type and/or eruption status) of a target tooth. A patient's dentition may be scanned and/or segmented. A target tooth may be identified. 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 detector can identify and/or output the eruption state of the target tooth, such as whether the target tooth is a fully erupted primary tooth, a permanent partially erupted/un-erupted tooth, or a fully erupted permanent tooth.

Claim (Index 20):
A method of automatically determining the eruption status and primary or permanent tooth type of a target tooth, the method comprising:\n receiving, in a computing device, a three-dimensional (3D) model of the patient's teeth including the target tooth; determining, in the computing device, tooth shape features of the target tooth from the 3D model of the patient's teeth; determining, in the computing device, tooth shape features of one or more reference teeth from the 3D model of the patient's teeth; normalizing, in the computing device, at least some of the tooth shape features of the target tooth using the tooth shape features of the one or more reference teeth; applying the normalized tooth shape features to a classifier of the computing device; and outputting from the computing device the eruption status and primary or permanent tooth type of the target tooth.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 94.0
- Lexical Diversity: 1.82812
- Patent Class: 433.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15676819', '15942341', '14541021', '12772178', '13020583']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6846417436094754
- 35 USC 102 Novelty (BERT): 0.4789479088067296
- Combined Prediction Score: 0.6640723601292008
- Mean Citation Score: 242.997696
- Max Citation Score: 265.95895
- Similarity Product: 235.53807333723609

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

Dataset: test