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 11):
A computer-implemented system comprising:\n a) an electronic device comprising: a processor, a memory, a camera, and an operating system configured to perform executable instructions; b) a portable device comprising an imaging component, said portable device configured to receive and position the electronic device to align the camera with the imaging component; and c) a computer program stored in the memory of the electronic device, the computer program including instructions executable by the user electronic device to create an application configured to perform steps comprising:\n i) controlling the camera to capture an ophthalmic image of an individual; \n ii) evaluating the ophthalmic image using a machine learning classifier to generate a determination of an ophthalmic disease, disorder, or condition, the determination having a sensitivity of at least 90% and a specificity of at least 90% when tested against an independent data set of at least 200 samples; and \n iii) providing the determination to the individual or a third party.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 97.0
- Lexical Diversity: 1.23529
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14266753', '13365160', '13467907', '14908519', '12457478']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4521278250152651
- 35 USC 102 Novelty (BERT): 0.4797694966149918
- Combined Prediction Score: 0.4548919921752378
- Mean Citation Score: 195.386424
- Max Citation Score: 208.7975
- Similarity Product: 150.21134596407416

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