PATENT CLAIM ANALYSIS

Application Number: 15965374
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["606", "08600R"]

Abstract:
Disclosed is a navigation system. The navigation system may be used to at least assist in a procedure. The system may assist in delineating objects and/or determining physical boundaries of image elements. The system may assist in planning and/or a workflow of the procedure.

Claim (Index 1):
A surgical navigation system configured for operation in a procedure, comprising:\n a memory system having stored thereon:\n (i) a convolutional neural network (CNN) configured for analyzing an image data, \n (ii) a trained model for use with the CNN that is trained to segment at least one spinal vertebrae in the image data, \n (iii) wherein the image data includes an acquired image of a subject; \n a processor system configured to:\n access the memory system to execute the CNN and the trained model to segment the image data; \n output a three-dimensional (3D) image data of the segmentation; \n based on the output 3D image data automatically output a workflow procedure portion for a surgical procedure; \n wherein the CNN includes at least one of a limited number of parameters or selected weights on parameters to increase a probability of correct segmentation.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 91.0
- Lexical Diversity: 1.71429
- Patent Class: 606.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12730714', '10619216', '13242195', '10794716', '12509868']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7988887196097626
- 35 USC 102 Novelty (BERT): 0.4549926398951045
- Combined Prediction Score: 0.7644991116382968
- Mean Citation Score: 152.25143
- Max Citation Score: 162.14603
- Similarity Product: 111.6079560538268

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