PATENT CLAIM ANALYSIS

Application Number: 15903919
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["351", "212000"]

Abstract:
The present disclosure relates generally to systems and method for testing and determining corrective lens prescription for a patient. In an example embodiment, a method includes using a hand-portable first electronic device, a second electronic device with a computerized screen, and a server to conduct a vision test for a person. The vision test includes determining, an axis prescription, a cylinder prescription, and a sphere prescription for each eye of the person. A corrective lens prescription is provided for the person based, at least in part, on the determined axis, cylinder, and sphere prescription for each eye of the person.

Claim (Index 14):
The method of  claim 1 , wherein determining the new corrective lens prescription further comprises, separately for each eye of the person:\n displaying on the computerized screen a diagram comprising a red-colored block and a green-colored block, each block comprising a block figure; requesting one or more first block inputs from the person to indicate whether one of the block figures appears more distinct than another one of the block figures and, if so, requesting one or more second block inputs from the person to indicate which of the block figures appear more distinct than the other of the block figures; and using at least one of the one or more first block inputs or second block inputs made by the person in response to said diagram to determine if the he new corrective lens prescription is over-corrected or under-corrected.

Metadata:
- Claim Count in Document: 69.0
- Percentile: 88.0
- Lexical Diversity: 2.07273
- Patent Class: 351.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14994983', '14195583', '14856849', '14994949', '11835109']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6219822951380914
- 35 USC 102 Novelty (BERT): 0.5494866843973386
- Combined Prediction Score: 0.6147327340640162
- Mean Citation Score: 414.117864
- Max Citation Score: 490.3915
- Similarity Product: 329.0291100744903

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test