US 12,262,946 B2
Apparatus and method for intraocular lens selection using post-operative measurements
John Gregory Ladas, Germantown, MD (US)
Assigned to Advanced Euclidean Solutions, LLC, Wilmington, DE (US)
Appl. No. 17/299,714
Filed by Advanced Euclidean Solutions, LLC, Wilmington, DE (US)
PCT Filed Dec. 6, 2019, PCT No. PCT/US2019/064911
§ 371(c)(1), (2) Date Jun. 3, 2021,
PCT Pub. No. WO2020/118170, PCT Pub. Date Jun. 11, 2020.
Claims priority of provisional application 62/776,320, filed on Dec. 6, 2018.
Prior Publication US 2022/0079433 A1, Mar. 17, 2022
Int. Cl. A61B 3/103 (2006.01); A61B 3/00 (2006.01); A61F 2/16 (2006.01); G16H 50/20 (2018.01); A61B 3/125 (2006.01)
CPC A61B 3/103 (2013.01) [A61B 3/0025 (2013.01); A61F 2/16 (2013.01); G16H 50/20 (2018.01); A61B 3/125 (2013.01)] 22 Claims
OG exemplary drawing
 
1. An apparatus for intraocular lens selection, comprising:
a biometer configured to obtain at least two ocular measurement parameters for an eye;
a user interface configured to obtain a lens selection parameter for the eye;
an autorefractor configured to obtain a post-operative refraction of the eye;
a memory; and
a processor communicatively coupled to the biometer, the user interface, the autorefractor, and the memory, and configured to:
determine an intraocular lens power based on a formula using the at least two ocular measurement parameters; and
correlate the at least two ocular measurement parameters, the intraocular lens power, and the post-operative refraction as a training set; and
train a deep learning machine using the at least two ocular measurement parameters, the post-operative refraction of the eye, and the intraocular lens power of a plurality of training sets to determine an estimated error of the formula applied to at least two ocular measurement parameters of an eye of a new patient.