PATENT CLAIM ANALYSIS

Application Number: 15887854
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["606", "279000"]

Abstract:
Described herein are devices and methods for fusion of adjacent vertebral bones using distractor platforms for exposure and resection of at least a portion of a facet joint, such as in performance of a TLiF procedure. In one embodiment, the distractor platform contains at least a first receptacle and/or extension adapted to couple to the implanted screw/bone marker, and the method includes advancing a threaded segment of a bone fastener assembly into the identified first pedicle of the first vertebral bone, the bone fastener assembly further comprises a second segment adapted to couple with a distraction platform, which is adapted to concurrently attach onto at least one tissue retention blade, and retain the tissue retention blade in the displaced position. Stabilization of a spinal segment is also provided by advancing a substantially concave orthopedic implant through an opening made in a posterior aspect of a disc space.

Claim (Index 58):
The method of  claim 41 , further comprising placing a bone forming material within an internal cavity of the second implant, the bone forming material configured to facilitate a bony fusion between the first vertebral bone and the second vertebral bone.

Metadata:
- Claim Count in Document: 134.0
- Percentile: 88.0
- Lexical Diversity: 1.71429
- Patent Class: 606.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13875228', '14616439', '15620633', '15162468', '13357509']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9249457836758136
- 35 USC 102 Novelty (BERT): 0.5755330386232521
- Combined Prediction Score: 0.8900045091705575
- Mean Citation Score: 545.6202999999998
- Max Citation Score: 638.2602
- Similarity Product: 458.4676181008101

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