PATENT CLAIM ANALYSIS

Application Number: 16160935
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["600", "408000"]

Abstract:
Disclosed herein are systems, methods, devices, and media for carrying out medical diagnosis of ophthalmic diseases and conditions. Deep learning algorithms enable the automated analysis of ophthalmic images to generate predictions of comparable accuracy to clinical experts.

Claim (Index 15):
The system of  claim 14 , wherein the retinal image is an optical coherence tomography (OCT) image.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 97.0
- Lexical Diversity: 1.23529
- Patent Class: 600.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14266753', '13365160', '13467907', '14908519', '12457478']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4782537655037497
- 35 USC 102 Novelty (BERT): 0.4960695524094519
- Combined Prediction Score: 0.48003534419432
- Mean Citation Score: 195.386424
- Max Citation Score: 208.7975
- Similarity Product: 127.12243808314209

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