PATENT CLAIM ANALYSIS

Application Number: 16163316
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["382", "128000"]

Abstract:
Systems, devices, and methods are described for providing patient anatomy models with indications of model accuracy included with the model. Accuracy is determined, for example, by analyzing gradients at tissue boundaries or by analyzing tissue surface curvature in a three-dimensional anatomy model. The determined accuracy is graphically provided to an operator along with the patient model. The overlaid accuracy indications facilitate the operator's understanding of the model, for example by showing areas of the model that may deviate from the modeled patient's actual anatomy.

Claim (Index 32):
A method for assessing the accuracy of a three-dimensional bone surface model, the method comprising:\n creating the three-dimensional bone surface model of a portion of a patient's bone from imaging data; determining a curvature of the three-dimensional bone surface model at a plurality of points along a surface of the three-dimensional bone surface model; identifying the curvature at each of the plurality of points as convex or concave; and marking one or more transition portions of the surface, wherein each transition portion of the surface is defined between a first point of the plurality of points and a second point of the plurality of points, wherein the first point and the second point are adjacent to each other along the surface, and wherein the first point has a concave curvature and the second point has a convex curvature.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 1.72727
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15124979', '15689191', '15277328', '13978919', '14270326']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.270916484420715
- 35 USC 102 Novelty (BERT): 0.583638121869867
- Combined Prediction Score: 0.3021886481656302
- Mean Citation Score: 251.53699800000004
- Max Citation Score: 478.33862
- Similarity Product: 421.69863371801256

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