Invention Grant
- Patent Title: Selection of intraocular lens based on a plurality of machine learning models
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Application No.: US17064254Application Date: 2020-10-06
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Publication No.: US11547484B2Publication Date: 2023-01-10
- Inventor: Sinchan Bhattacharya , Ramesh Sarangapani
- Applicant: Alcon Inc.
- Applicant Address: CH Fribourg
- Assignee: Alcon Inc.
- Current Assignee: Alcon Inc.
- Current Assignee Address: CH Fribourg
- Main IPC: A61B34/10
- IPC: A61B34/10 ; G06T7/62 ; G06T7/70 ; G16H20/40 ; G16H30/20 ; G16H50/30 ; G16H50/70 ; G16H50/20 ; G16H30/40 ; A61B8/10 ; A61F2/16

Abstract:
A method and system for selecting an intraocular lens, with a controller having a processor and tangible, non-transitory memory. A plurality of machine learning models is selectively executable by the controller. The controller is configured to receive at least one pre-operative image of the eye and extract, via a first input machine learning model, a first set of data. The controller is configured to receive multiple biometric parameters of the eye and extract, via a second input machine learning model, a second set of data. The first set of data and the second set of data are combined to produce a mixed set of data. The controller is configured to generate, via an output machine learning model, at least one output factor based on the mixed set of data. An intraocular lens is selected based in part on the at least one output factor.
Public/Granted literature
- US20210106385A1 SELECTION OF INTRAOCULAR LENS BASED ON A PLURALITY OF MACHINE LEARNING MODELS Public/Granted day:2021-04-15
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