PATENT CLAIM ANALYSIS

Application Number: 16028303
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["382", "131000"]

Abstract:
Systems and methods for predicting shape are provided. A system for predicting shape can include a database, a training analysis module, a subject analysis module, and a prediction module. The database can store two sets of training models characterized by first and second parameters, respectively (e.g., bone and cartilage), as well as a subject model characterized by the first parameter (e.g., a bone model). The relationships between these models can be determined by a training analysis module and a subject module. Based on these relationships, the prediction module can generate a predicted shape characterized by the second parameter (e.g., a predicted cartilage model corresponding to the bone model).

Claim (Index 12):
A non-transitory computer readable medium comprising computer executable instructions stored thereon which when executed by a processor cause a computer to perform a method of generating a digital 3D model of an object based on predicting a shape of the object, the method comprising:\n determining an average shape for a first set of training models comprising 2D models; determining a decomposition of the first set of training models; determining an average shape for a second set of training models comprising 3D models; determining a decomposition of the second set of training models; determining a relationship between the first set of training models and the second set of training models as a function of the average shape for the first set of training models, the decomposition of the first set of training models, the average shape for the second set of training models, and the decomposition of the second set of training models, each model in the first set of training models corresponding to a model in the second set of training models; determining a relationship between a subject model and the first set of training models, the subject model being a 2D model; and generating the digital 3D model of the object based on a predicted shape of the object based on the relationship between the first set of training models and the second set of training models and on the relationship between the subject model and the first set of training models.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 95.0
- Lexical Diversity: 2.37037
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15218067', '12703438', '12918810', '12392808', '12392849']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2739387257469563
- 35 USC 102 Novelty (BERT): 0.5154784583418827
- Combined Prediction Score: 0.2980926990064489
- Mean Citation Score: 184.94334
- Max Citation Score: 310.73895
- Similarity Product: 274.3617167819738

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

Dataset: test