AUGMENTATION OF OPTICAL COHERENCE TOMOGRAPHY IMAGE OF EYE BASED ON LEARNING MODULES

    公开(公告)号:US20220198654A1

    公开(公告)日:2022-06-23

    申请号:US17507644

    申请日:2021-10-21

    申请人: Alcon Inc.

    IPC分类号: G06T7/00 A61F9/008

    摘要: A system and method for augmenting an original OCT (optical coherence tomography) image includes a controller having a processor and a tangible, non-transitory memory on which instructions are recorded. The system includes one or more learning modules selectively executable by the controller. The learning modules are trained by a training network with a training dataset having a plurality of training ultrasound bio-microscopy images and respective training OCT images. Execution of the instructions by the processor causes the controller to obtain the original OCT image, captured through an OCT device. The controller is configured to generate an augmented OCT image based in part on the original OCT image, by executing the (trained) learning modules. The augmented OCT image at least partially extends a peripheral portion of the original OCT image.

    PERSONALIZED ASSISTANCE SYSTEM FOR USER OF VISION CORRECTION DEVICE

    公开(公告)号:US20210193278A1

    公开(公告)日:2021-06-24

    申请号:US17127735

    申请日:2020-12-18

    申请人: Alcon Inc.

    摘要: A personalized assistance system for a user of a vision correction device includes a remote computing unit with a controller having a processor and tangible, non-transitory memory on which instructions are recorded. The controller is configured to selectively execute one or more machine learning models. A user device is operable by the user and includes an electronic diary module configured to prompt the user to answer one or more preselected questions at specific intervals. The electronic diary module is configured to store respective answers, entered by the user in response to the one or more preselected questions, as self-reported data. The controller is configured to obtain the self-reported data from the electronic diary module and generate an analysis of the self-reported data, via the one or more machine learning models. The controller is configured to assist the user based in part on the analysis.

    Systems and methods for using machine learning to predict contact lens compatibility

    公开(公告)号:US11944379B2

    公开(公告)日:2024-04-02

    申请号:US16896006

    申请日:2020-06-08

    申请人: Alcon Inc.

    摘要: Systems and methods for determining a compatibility between a multi-focal contact lens and a patient seeking presbyopia vision correction include receiving, from a first device associated with a first eye-care professional (ECP), a request for selecting a contact lens for a consumer, wherein the request comprises biometric information associated with the consumer; obtaining a performance metric associated with the first ECP; determining, using the machine learning model and based on the performance metric, a customized compatibility index indicating a compatibility between a particular contact lens and the consumer for the first ECP; and presenting a report indicating the compatibility index on the first device. Additional systems, methods, and non-transitory machine-readable mediums are also provided.

    Systems and methods for providing vision simulation for pseudophakic patients

    公开(公告)号:US11790582B2

    公开(公告)日:2023-10-17

    申请号:US17077941

    申请日:2020-10-22

    申请人: Alcon Inc.

    IPC分类号: G06T11/60

    CPC分类号: G06T11/60 G06T2210/41

    摘要: Systems and methods are presented for providing a vision simulation of a patient who has an eye condition. A composite image representing a real-world scene is obtained. The composite image includes multiple image layers, where each image layer represents objects that are at a particular viewing distance in the real-world scene. A first eye model representing the eye optics of the patient is generated. A second eye model representing the eye optics of a viewer is generated. The second eye model is modified by performing a mathematical function. A simulated image representing the vision of the patient is generated by convolving the first eye model and the modified second eye model with the composite image. In some embodiments, a tone mapping algorithm may also be applied to the simulated image to simulate a nighttime scene.

    SELECTION OF INTRAOCULAR LENS BASED ON A PLURALITY OF MACHINE LEARNING MODELS

    公开(公告)号:US20210106385A1

    公开(公告)日:2021-04-15

    申请号:US17064254

    申请日:2020-10-06

    申请人: Alcon Inc.

    摘要: 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.

    SYSTEMS AND METHODS FOR USING MACHINE LEARNING TO PREDICT CONTACT LENS COMPATIBILITY

    公开(公告)号:US20240197167A1

    公开(公告)日:2024-06-20

    申请号:US18584409

    申请日:2024-02-22

    申请人: Alcon Inc.

    摘要: Systems and methods for determining a compatibility between a multi-focal contact lens and a patient seeking presbyopia vision correction include receiving, from a first device associated with a first eye-care professional (ECP), a request for selecting a contact lens for a consumer, wherein the request comprises biometric information associated with the consumer; obtaining a performance metric associated with the first ECP; determining, using the machine learning model and based on the performance metric, a customized compatibility index indicating a compatibility between a particular contact lens and the consumer for the first ECP; and presenting a report indicating the compatibility index on the first device. Additional systems, methods, and non-transitory machine-readable mediums are also provided.

    INTEGRATED ANALYSIS OF MULTIPLE SPECTRAL INFORMATION FOR OPHTHALMOLOGY APPLICATIONS

    公开(公告)号:US20240032784A1

    公开(公告)日:2024-02-01

    申请号:US18358881

    申请日:2023-07-25

    申请人: Alcon Inc.

    IPC分类号: A61B3/00 A61B3/14 G16H50/30

    CPC分类号: A61B3/0025 A61B3/14 G16H50/30

    摘要: In certain embodiments, an ophthalmic system and computer-implemented method for analyzing multiple spectral information to generate ophthalmic information are described. In an exemplary ophthalmic system, multiple spectral information associated with an eye of a patient is captured via an imaging system. A first set of information and a second set of information are extracted from the multiple spectral information. A visualization of the multiple spectral information is generated using the first set of information. The first set of information and the second set of information are evaluated using different deep learning models to generate ophthalmic information. The ophthalmic information is sent to a user for diagnostic evaluation.