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 1):
A computer-implemented method comprising:\n gathering a three-dimensional (3D) model of a patient's dentition; identifying a portion of the 3D model of the patient's dentition corresponding to the target tooth, the portion of the 3D model of the patient's dentition being associated with one or more visual attributes of the target tooth; standardizing the 3D model of the target tooth; identifying one or more principal component analysis (PCA) features of the portion of the 3D model of the patient's dentition corresponding to the target tooth, the one or more PCA features being correlated with the one or more visual attributes of the target tooth; determining one or more tooth eruption indicators of the target tooth using the one or more PCA features, the one or more tooth eruption indicators providing a basis to identify an eruption state of the target tooth; and outputting the one or more tooth eruption indicators.

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): 0.6844726568537624
- 35 USC 102 Novelty (BERT): 0.4799001717725318
- Combined Prediction Score: 0.6640154083456393
- Mean Citation Score: 242.997696
- Max Citation Score: 265.95895
- Similarity Product: 232.45613118042945

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