PATENT CLAIM ANALYSIS

Application Number: 16025667
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["623", "017150"]

Abstract:
A unique, universal Zero-Profile Expandable Intervertebral Spacer (ZP-EIS) device for fusion and distraction throughout the entire spine is provided which can be inserted via anterior, anterolateral, lateral, far lateral or posterior surgical approaches dependent on the need and preference. Multiple ZP-EIS embodiments each with unique mechanisms of calibrated expansion are provided. Two of these embodiments incorporate bi-directional fixating transvertebral (BDFT) screws and five other embodiments do not incorporate BDFT screws. A tool for implantation into the intervertebral device and calibrated device expansion is also disclosed.

Claim (Index 2):
The device of  claim 1 , wherein the first movable portion defines a first bone material receiving area between the first and second end portions and the first and second side portions, wherein the second movable portion defines a second bone material receiving area between the third and fourth end portions and the third and fourth side portions, and wherein the first bone material receiving area is aligned with the second bone material receiving area and sized such that a path between the first and second bone material receiving areas is only partially blocked by the wedge.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 95.0
- Lexical Diversity: 1.44776
- Patent Class: 623.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15820232', '14063197', '15976340', '15054926', '13210168']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8571782759086694
- 35 USC 102 Novelty (BERT): 0.6357176163284055
- Combined Prediction Score: 0.835032209950643
- Mean Citation Score: 495.841368
- Max Citation Score: 666.51575
- Similarity Product: 535.862268917963

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

Dataset: test