PATENT CLAIM ANALYSIS

Application Number: 16177946
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["351", "206000"]

Abstract:
A method of automatically detecting a retinal feature using an ophthalmic imaging system and automatically providing at least one of an audio, visual, and tactile indication of the detected retinal feature to a user.

Claim (Index 7):
A system, comprising:\n an optical coherence tomography (OCT) imaging system configured to acquire an OCT image of a retina; and a non-transitory computer-readable medium storing instructions that, when executed, cause a processor to:\n segment the OCT image; \n generate a plurality of metrics based on the segmented OCT image, wherein the plurality of metrics includes\n a thickness of a first retinal feature in a first area of the retina and a second area of the retina; and \n a radius of curvature of second retinal feature in the first area of the retina and the second area of the retina; \n wherein the first and the second areas of the retina are adjacent; \n \n compare the thickness of the first retinal feature and the radius of curvature of the second retinal feature in the first area with the thickness of the first retinal feature and the radius of curvature of the second retinal feature in the second area; \n determine that a difference in the thickness of the first retinal feature in the first area and the second area meets or exceeds a first threshold and a difference in the radius of curvature of the second retinal feature in the first area and the second area is meets or exceeds a second threshold; and \n based on the determination, generate at least one of an audio, visual, and tactile indicator to indicate a location of a probable retinal break to a user.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 98.0
- Lexical Diversity: 1.32143
- Patent Class: 351.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14309618', '15188839', '15333778', '13488280', '15246036']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5478103484830895
- 35 USC 102 Novelty (BERT): 0.544866379692801
- Combined Prediction Score: 0.5475159516040606
- Mean Citation Score: 244.402822
- Max Citation Score: 420.13974
- Similarity Product: 392.0560751402879

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