Invention Grant
- Patent Title: Systems, apparatuses, and methods for intraocular lens selection using artificial intelligence
-
Application No.: US16145751Application Date: 2018-09-28
-
Publication No.: US11890184B2Publication Date: 2024-02-06
- Inventor: John Gregory Ladas
- Applicant: John Gregory Ladas
- Applicant Address: US MD Germantown
- Assignee: John Gregory Ladas
- Current Assignee: John Gregory Ladas
- Current Assignee Address: US MD Germantown
- Agency: ArentFox Schiff LLP
- Main IPC: A61F2/14
- IPC: A61F2/14 ; A61F2/16 ; G02C7/04 ; G16H20/40 ; G16H50/50 ; G16H40/60 ; G16H50/70 ; A61B3/00 ; A61B34/10

Abstract:
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.
Public/Granted literature
- US20190099262A1 SYSTEMS, APPARATUSES, AND METHODS FOR INTRAOCULAR LENS SELECTION USING ARTIFICAL INTELLIGENCE Public/Granted day:2019-04-04
Information query
IPC分类: