Methods of automated determination of parameters for vision correction
AssigneeWaveFront Dynamics, Inc.
InventorsDaniel R. Neal, Xifeng Xiao, Jeff Kolberg, Ron Rammage
Life of this patent
Estimating the term…
Abstract
A method for optimizing an ophthalmic treatment, comprising: measuring a patient's eye with an ophthalmic measurement instrument, fabricating a trial correction lens and testing it on the patient's eye, determining a score or success criteria for the trial correction, using the score or success criteria to provide training information to a machine-learning algorithm, and using the machine-learning algorithm to determine an optimal ophthalmic correction.
Claims19
A method for optimizing an ophthalmic treatment of a patient's eye, comprising:
- a. measuring a patient's eye with an ophthalmic measurement instrument;
- b. choosing a trial correction contact lens and measuring the patient's eye using the trial correction contact lens fitted on the eye;
- c. determining a success criteria score for the trial correction contact lens;
- d. using the success criteria score to provide training information to a machine-learning algorithm;
- and
- e. using the machine-learning algorithm to determine an optimal ophthalmic correction;
- wherein the success criteria score is selected from the group consisting of fit, lens stability, and level of correction, or combinations thereof.
A method for optimizing an ophthalmic treatment of a patient's eye, comprising:
- a. measuring a patient's eye with a wavefront aberrometer;
- b. choosing a trial correction contact lens and measuring the patient's eye using the trial correction contact lens fitted on the eye;
- c. determining a success criteria score for the trial correction contact lens;
- d. using the success criteria score to provide training information to a machine-learning algorithm;
- and
- e. using the machine-learning algorithm to determine an optimal ophthalmic correction;
- wherein the success criteria score is selected from the group consisting of fit, lens stability, and level of correction, or combinations thereof.
A method for optimizing an ophthalmic treatment of a patient's eye, comprising:
- a. measuring a patient's eye with a wavefront aberrometer;
- b. choosing a trial correction contact lens and measuring the patient's eye using the trial correction contact lens fitted on the eye;
- c. determining a success criteria score for the trial correction contact lens;
- d. using the success criteria score to provide training information to a machine-learning algorithm;
- and
- e. using the machine-learning algorithm to determine an optimal ophthalmic correction;
- f. wherein measurement information from the wavefront aberrometer is synchronized with cloud-based or network-based storage to provide a central storage location;
- wherein the success criteria score is selected from the group consisting of fit, lens stability, and level of correction, or combinations thereof.
Dependencies are inferred from the claim text.