Systems, apparatuses, and methods for intraocular lens selection using artifical intelligence
OwnerJohn Gregory LADASinventor
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OwnerJohn Gregory LADASinventor
Estimating the term…
Aspects of the present invention may include systems and methods for intraocular lens selection using a formula and a deep learning machine to estimate the error of the formula. In an aspect, the disclosure provides a method for intraocular lens selection. The method may include obtaining at least two ocular measurement parameters and a lens selection parameter for an eye. The method may include determining an intraocular lens power based on a formula using the at least two ocular measurement parameters. The method may include determining an estimated error of the formula using a deep learning machine trained on verified post-operative results using intraocular lenses selected by the formula. The method may include adjusting the lens selection parameter based on the estimated. The method may include redetermining the intraocular lens power based on the formula and the adjusted lens selection parameter.
A method for intraocular lens selection, comprising:
The method of claim 2, further comprising:
An apparatus for intraocular lens selection, comprising:
A non-transitory computer-readable medium storing computer executable instructions, comprising instructions to cause a computer to:
Dependencies are inferred from the claim text.