PATENT CLAIM ANALYSIS

Application Number: 15928843
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["600", "146000"]

Abstract:
Systems and methods for automated steering control of a robotic endoscope, e.g., a colonoscope, are provided. The control system may comprise: a) a first image sensor configured to capture a first input data stream comprising a series of two or more images of a lumen; and b) one or more processors that are individually or collectively configured to generate a steering control output signal based on an analysis of data derived from the first input data stream using a machine learning architecture, wherein the steering control output signal adapts to changes in the data of the first input data stream in real time.

Claim (Index 6):
The control system of  claim 1 , wherein the analysis comprises performing automated image processing on one or more images to identify areas of high light reflection and thereby determine the proximity of the lumen wall or an obstacle to the distal end of the robotic endoscope based on a relationship between light reflection and proximity.

Metadata:
- Claim Count in Document: 81.0
- Percentile: 90.0
- Lexical Diversity: 1.71212
- Patent Class: 600.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14486708', '10402599', '15758679', '14148322', '12950921']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5259869464083928
- 35 USC 102 Novelty (BERT): 0.479396028902661
- Combined Prediction Score: 0.5213278546578197
- Mean Citation Score: 186.356192
- Max Citation Score: 191.73795
- Similarity Product: 130.49284640925228

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