PATENT CLAIM ANALYSIS

Application Number: 15902053
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["345", "633000"]

Abstract:
The present disclosure is directed to augmented reality navigation systems and methods of their use that, inter alia, address the need for systems and methods of robotic surgical system navigation with reduced distraction to surgeons. Augmented reality navigation systems disclosed herein enable a surgeon to maintain focus on a surgical site and/or surgical tool being used in a surgical procedure while obtaining a wide range of navigational information relevant to the procedure. Navigational information can appear in the augmented reality navigation system as being presented on virtual displays that sit in a natural field of view of a surgeon during a procedure. Navigational information can also appear to be overlaid over a patient's anatomy. Augmented reality navigation systems comprise a head mounted display comprising an at least partially transparent display screen, at least one detector connected to the head mounted display for identifying real-world features, and a computer subsystem.

Claim (Index 13):
The augmented reality navigation system of  claim 10 , comprising:\n a motion sensor connected to the head mounted display for outputting a motion signal based on measured motion of the head mounted display.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 88.0
- Lexical Diversity: 1.72826
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15699273', '15713839', '15013594', '15531483', '15843341']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7086092237070559
- 35 USC 102 Novelty (BERT): 0.5144981915805811
- Combined Prediction Score: 0.6891981204944084
- Mean Citation Score: 289.6416200000001
- Max Citation Score: 314.29037
- Similarity Product: 221.94151972542167

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