PATENT CLAIM ANALYSIS

Application Number: 16410949
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["345", "419000"]

Abstract:
Methods and apparatuses for generating a model of a subject's teeth. Described herein are intraoral scanning methods and apparatuses for generating a three-dimensional model of a subject's intraoral region (e.g., teeth) including both surface features and internal features. These methods and apparatuses may be used for identifying and evaluating lesions, caries and cracks in the teeth. Any of these methods and apparatuses may use minimum scattering coefficients and/or segmentation to form a volumetric model of the teeth.

Claim (Index 21):
The system of  claim 12 , wherein the one or more processors are further configured to:\n display a viewing window over at least a portion the 3D surface model; receive, from a user, a change in a relative position between the viewing window and the 3D surface model; identify, from both the 3D surface model and a plurality of images of the subject's teeth taken from different angles and positions relative to the subject's teeth, a near-infrared (near-IR) image taken at an angle and position that approximates a relative angle and position between the viewing window relative to the 3D surface model; and display the identified near-IR image taken at the angle and position that approximates the angle and position between the viewing window relative to the 3D surface model.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 100.0
- Lexical Diversity: 1.70588
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16258516', '15662234', '16188262', '15672248', '16198488']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8022848657126856
- 35 USC 102 Novelty (BERT): 0.5884551986465361
- Combined Prediction Score: 0.7809018990060707
- Mean Citation Score: 544.516668
- Max Citation Score: 569.596
- Similarity Product: 427.0992223663329

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

Dataset: test