PATENT CLAIM ANALYSIS

Application Number: 15868856
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["382", "128000"]

Abstract:
Techniques for improved diagnosis, treatment, and monitoring of corneal pathologies use enhanced mapping of the cornea or corneal regions, to develop three-dimensional mapping of corneal thickness, while retaining particular corneal micro-layer thickness data. Anterior and posterior surface identifications, along with surface apex determinations, are used for registration of segmentation of these micro-layers. 3D heat maps and bull's-eye maps are generated from resulting thickness date. The maps provided enhanced evaluation and diagnosis of a corneal pathologies, such as keratoconus, pellucid marginal degeneration, post-refractive surgery ectasia, keratoglobus, corneal transplant rejection and corneal transplant failed grafts, Fuchs dystrophy, corneal limbal stem cell deficiency, dry eye syndrome, and post-corneal collagen crosslinking evaluation.

Claim (Index 10):
The method of  claim 1 , wherein the diagnosable condition comprises dry eye, and wherein the identified one or more of the plurality biologically-defined micro-layers comprises an epithelium, a basal epithelial layer, a Bowman's layer, and one or more endothelial/Descemet's layers complex of the cornea, the method further comprising:\n developing the thickness map as a thickness map of the corneal epithelium, wherein the thickness map includes an irregularity indication of changes in thickness across the corneal epithelium, wherein the irregularity indication indicates differences in concentration of thickness irregularities across different regions of the cornea.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 86.0
- Lexical Diversity: 1.5875
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14247903', '14481660', '12275518', '12897131', '13441733']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3612395427604253
- 35 USC 102 Novelty (BERT): 0.5262334878161714
- Combined Prediction Score: 0.3777389372659999
- Mean Citation Score: 288.478588
- Max Citation Score: 355.7005
- Similarity Product: 288.6418861294687

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