PATENT CLAIM ANALYSIS

Application Number: 16419877
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["382", "128000"]

Abstract:
Method and system for managing multiple impressions of a patient's jaw for an orthodontic treatment is provided. The method includes scanning at least a first impression and a second impression of same jaw for the orthodontic treatment; determining if the first jaw impression and the second jaw impression have distortion in different areas; selecting the first jaw impression or the second jaw impression as a base impression; and replacing a distorted tooth data from the base impression with data for the same tooth from a non-base impression. The method also includes scanning at least a first jaw impression for the orthodontic treatment; scanning a bite impression for the orthodontic treatment; matching the scanned first jaw impression with the scanned bite impression; comparing bite information with a tooth occlusal surface; and determining if reconstruction is to be performed on the tooth occlusal surface.

Claim (Index 6):
A system for building a digital model of a patient's jaw, comprising:\n a processing module configured for: (a) determining if a portion of a first digitized jaw model and a second digitized jaw model have at least one distortion; (b) selecting the first digitized jaw model or the second digitized jaw model as a base model given the presence of the at least one distortion, and selecting the other digitized jaw model as a non-base model given the absence of the at least one distortion; and (c) removing the at least one distortion from a region in the base model and replacing the removed at least one distortion with non-distorted data from a corresponding region from the non-base model to create a revised based model.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 100.0
- Lexical Diversity: 2.5082
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13051759', '11678749', '14670137', '15836105', '16172529']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3638660766246624
- 35 USC 102 Novelty (BERT): 0.5512258086051219
- Combined Prediction Score: 0.3826020498227084
- Mean Citation Score: 387.913022
- Max Citation Score: 406.20334
- Similarity Product: 355.35872573066

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

Dataset: test