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 1):
An intraoral scanning system, comprising:\n a hand-held wand configured to operate with one or more sensors to detect infrared and visible light; a sleeve configure to be placed over a distal end of the hand-held wand having a transparent window at a distal end region; and one or more processors operably connected to the hand-held wand, the one or more processors configured to:\n receive visible light information and infrared information from the one or more sensors; \n determine, in real time, surface information from the visible light information and generate a three-dimensional (3D) surface model of a subject's teeth using the surface information; \n display the 3D surface model on a display screen in real time as the hand-held wand is moved; \n determine, in real time, projections into the subject's teeth from the infrared information, and generate one or more images into the subject's teeth from the projections; and \n display, in real time on the display screen, one or more images into the subject's teeth as the hand-held wand is moved.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 100.0
- Lexical Diversity: 1.70588
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16258516', '15662234', '16188262', '15672248', '16198488']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7765618912623029
- 35 USC 102 Novelty (BERT): 0.6085158650158194
- Combined Prediction Score: 0.7597572886376546
- Mean Citation Score: 544.516668
- Max Citation Score: 569.596
- Similarity Product: 513.0375463223456

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