PATENT CLAIM ANALYSIS

Application Number: 15901221
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["623", "021180"]

Abstract:
Various modular implants and modular implant systems are disclosed herein, as are methods of implanting the same. The modular implant systems can include modular implants that are stacked on each other to define a modular implant system, which in an example can be used to replace or augment a void in bone. The modular implants can interact with an intramedullary implant to, for instance, assist with a fusion procedure.

Claim (Index 14):
A method of implanting a modular implant system comprising:\n implanting an intramedullary implant having a shaft into the medullary canal of a bone of a patient; positioning a first inner core section of a first modular implant part around a first portion of the shaft so that the first inner core section substantially conforms to the first portion of the shaft; positioning a second inner core section of a second modular implant part around a second portion of the shaft so that the second inner core section substantially conforms to the second portion of the shaft; and joining the first modular implant part with the second modular implant part so that the first and second inner core sections collectively define an inner core that substantially conforms to at least part of the shaft of the intramedullary implant.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 88.0
- Lexical Diversity: 1.58333
- Patent Class: 623.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14499537', '13031550', '14383599', '12156791', '11625151']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7590071053649615
- 35 USC 102 Novelty (BERT): 0.4605018673157719
- Combined Prediction Score: 0.7291565815600426
- Mean Citation Score: 183.781696
- Max Citation Score: 202.64345
- Similarity Product: 157.94211488702297

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