	US 12,409,070 B2
	Apparatus and method for corneal refractive optimization using post-operative measurements
John Gregory Ladas, Germantown, MD (US)
Assigned to Advanced Euclidean Solutions, LLC., Wilmington, DE (US)
Appl. No. 17/595,907
Filed by Advanced Euclidean Solutions, LLC., Wilmington, DE (US)
PCT Filed May 29, 2020, PCT No. PCT/US2020/035238 § 371(c)(1), (2) Date Nov. 29, 2021, PCT Pub. No. WO2020/243508, PCT Pub. Date Dec. 3, 2020.
Claims priority of provisional application 62/855,364, filed on May 31, 2019.
Prior Publication US 2022/0313487 A1, Oct. 6, 2022
Int. Cl. A61F 9/008 (2006.01); G16H 20/40 (2018.01)

CPC A61F 9/0084 (2013.01) [A61F 9/00827 (2013.01); G16H 20/40 (2018.01); A61F 2009/00872 (2013.01); A61F 2009/0088 (2013.01); A61F 2009/00882 (2013.01)]

19 Claims

1. A method for determining a laser parameter set for corneal refractive surgery, comprising:

determining one or more targets for corneal refractive surgery;

obtaining at least two ocular measurement parameters of an eye;

determining a laser parameter set based on an algorithm using the at least two ocular measurement parameters and the one or more targets for corneal refractive surgery;

determining an estimated error of the algorithm using a deep learning machine trained on verified post-operative results;

adjusting the one or more targets for corneal refractive surgery based on the estimated error;

redetermining the laser parameter set for corneal refractive surgery; and

configuring a laser to emit a laser beam based on the redetermined laser parameter set.

10. A method of laser parameter set selection, comprising:

obtaining at least two ocular measurement parameters for an eye by an autorefractor;

determining one or more targets for corneal refractive surgery;

determining a laser parameter set based on an algorithm using the at least two ocular measurement parameters;

configuring a laser to emit a laser beam based on the laser parameter set;

obtaining a post-operative refraction of the eye from the autorefractor;

correlating the at least two ocular measurement parameters, the laser parameter set, and the post-operative refraction as a training set; and

training a deep learning machine using the post-operative refraction of the eye and the laser parameter set to determine an estimated error of the algorithm.

16. A non-transitory computer-readable medium storing computer executable instructions, comprising instructions to cause a computer to:

obtain at least two ocular measurement parameters for an eye by an autorefractor or a wavefront analyzer;

determine one or more targets for corneal refractive surgery;

determine a laser parameter set based on an algorithm using the at least two ocular measurement parameters;

determine an estimated error of the algorithm using a deep learning machine trained on verified post-operative results;

adjust the one or more targets for corneal refractive surgery based on the estimated error;

redetermine the laser parameter set for corneal refractive surgery;

configure a laser to emit a laser beam based on the redetermined laser parameter set;

obtain a post-operative refraction of the eye from the autorefractor or the wavefront analyzer; and

correlate the at least two ocular measurement parameters, the laser parameter set, and the post-operative refraction as a training set.