PATENT CLAIM ANALYSIS

Application Number: 15881136
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["623", "016110"]

Abstract:
Embodiments relate generally to channel implants used for surgical reconstruction and/or repair. Certain embodiments of the channel implants are designed for craniofacial surgery, reconstruction, and/or augmentation. More specifically, some embodiments find particular use in orbital reconstructive surgery, such as repair of the orbital floor or supraorbital ridge (brow ridge). Embodiments also relate to methods for using and for manufacturing the channel implants disclosed.

Claim (Index 16):
A method for manufacturing a porous channel implant, comprising:\n manufacturing or obtaining first and second porous sheets of material, each porous sheet of material have a thickness that is less than or equal to two particles thick; positioning the first porous sheet of material in a mold; positioning a mold core on the first porous sheet of material; positioning the second porous sheet of material over the first porous sheet of material and the mold core to form an assembled structure; thermally processing the assembled structure; removing the thermally processed assembled structure from the mold; and removing the mold core from between the two porous sheet of material to reflect a channel therebetween.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 86.0
- Lexical Diversity: 1.55319
- Patent Class: 623.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14802727', '11626401', '14637989', '13158247', '11445560']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.756888769600499
- 35 USC 102 Novelty (BERT): 0.4695839769901629
- Combined Prediction Score: 0.7281582903394654
- Mean Citation Score: 169.86452400000005
- Max Citation Score: 191.65547
- Similarity Product: 131.3144411842382

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