PATENT CLAIM ANALYSIS

Application Number: 16222686
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-07
Patent Classification: ["348", "065000"]

Abstract:
Methods and apparatuses provide improved navigation through tubular networks such as lung airways by providing improved estimation of location and orientation information of a medical instrument (e.g., an endoscope) within the tubular network. Various input data such as image data, EM data, and robot data are used by different algorithms to estimate the state of the medical instrument, and the state information is used to locate a specific site within a tubular network and/or to determine navigation information for what positions/orientations the medical instrument should travel through to arrive at the specific site. Probability distributions together with confidence values are generated corresponding to different algorithms are used to determine the medical instrument's estimated state.

Claim (Index 38):
A non-transitory computer readable storage medium comprising computer program instructions that when executed by one or more processors cause the one or more processors to:\n receive a plurality of images from an optical sensor on a flexible tip of an endoscopic tool inserted into a tubular network; identify, within an image of the plurality of images, a division of the tubular network, the division comprising a plurality of openings to a plurality of respective segments of the tubular network; determine a first estimated state of the flexible tip within the tubular network based on the identified division of the tubular network; and show, on a display, an estimated position of the flexible tip within a segment of the plurality of segments of the luminal network, wherein the estimated position is determined based on the first estimated state.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 98.0
- Lexical Diversity: 1.7971
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15268238', '15669258', '16023877', '15783903', '15392674']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6653789495358081
- 35 USC 102 Novelty (BERT): 0.5471923656128895
- Combined Prediction Score: 0.6535602911435163
- Mean Citation Score: 311.97649
- Max Citation Score: 427.1494
- Similarity Product: 312.7708446263909

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

Dataset: test