SELECTION OF INTRAOCULAR LENS BASED ON A PREDICTED SUBJECTIVE OUTCOME SCORE

    公开(公告)号:US20210369106A1

    公开(公告)日:2021-12-02

    申请号:US17330327

    申请日:2021-05-25

    Applicant: Alcon Inc.

    Abstract: A system and method for selecting an intraocular lens, for implantation into an eye, includes a controller having a processor and a tangible, non-transitory memory on which instructions are recorded. The controller is configured to selectively execute a machine learning model trained with a training dataset. Execution of the instructions by the processor causes the controller to obtain pre-operative objective data for the patient, including one or more anatomic eye measurements. The controller is configured to obtain pre-operative questionnaire data for the patient, including at least one personality trait. The pre-operative objective data and the pre-operative questionnaire data are entered as respective inputs to the machine learning model. A predicted subjective outcome score for the patient is generated as an output of the machine learning model. The intraocular lens is selected based in part on the predicted subjective outcome score.

    Refining lens parameters of an ocular model

    公开(公告)号:US12207871B2

    公开(公告)日:2025-01-28

    申请号:US17574667

    申请日:2022-01-13

    Applicant: Alcon Inc.

    Abstract: An ophthalmic system for generating an ocular model of an eye includes an optical coherence tomography (OCT) device, an aberrometer, and a computer. The OCT device detects OCT light reflected from the eye. The aberrometer detects aberrometer light reflected from the eye. The computer generates the ocular model of the eye according to the reflected OCT light. The ocular model includes parameters describing the eye. The parameters include lens parameters that describe the lens of the eye. The computer determines an OCT-based wavefront according to the ocular model, determines an aberrometer-based wavefront according to the reflected aberrometer light, and compares the OCT-based and the aberrometer-based wavefronts. If the wavefronts differ beyond a predefined tolerance, the computer adjusts one or more values assigned to the parameters until the wavefronts satisfy the predefined tolerance. At least one adjusted value is assigned to a lens parameter.

    METHOD AND SYSTEM FOR MEASURING OPTICAL PARAMETERS

    公开(公告)号:US20240389851A1

    公开(公告)日:2024-11-28

    申请号:US18795928

    申请日:2024-08-06

    Applicant: Alcon Inc.

    Abstract: A method of verifying ophthalmic measurements includes obtaining, via an ophthalmic measurement device, a first measurement of at least one ophthalmic parameter over a first measurement area. The first measurement area corresponds to an unassisted visible area of a patient's eye. A second measurement of the at least one ophthalmic parameter over a second measurement area is obtained via the measurement device. The second measurement area corresponds to an assisted visible area of the patient's eye. The first measurement is compared to the second measurement. It is determined if the second measurement diverges from the first measurement. Responsive to a determination that the second measurement diverges from the first measurement, an alert that the second measurement is inaccurate is generated. Responsive to a determination that the second measurement does not diverge from the first measurement, the second measurement is accepted as accurate.

    METHODS AND SYSTEMS FOR DETERMINING INTRAOCULAR LENS (IOL) PARAMETERS FOR CATARACT SURGERY

    公开(公告)号:US20220331092A1

    公开(公告)日:2022-10-20

    申请号:US17722921

    申请日:2022-04-18

    Applicant: Alcon Inc.

    Abstract: Certain aspects of the present disclosure provide techniques for performing surgical ophthalmic procedures, such as cataract surgeries. An example method generally includes generating, using one or more measurement devices, one or more data points associated with measurements of one or more anatomical parameters for an eye to be treated. Using one or more trained machine learning models, one or more recommendations are generated including one or more IOL parameters for the IOL to be used in the cataract surgery based, at least in part, on the one or more data points. The machine learning models are trained based on at least one historical data set of data points associated with measurements of anatomical parameters mapped to treatment data and treatment result data associated with each historical patient. The one or more IOL parameters comprise one or more of an IOL type, an IOL power, or IOL placement information for implanting the IOL in the eye.

    Evaluating measurements using information from multiple measuring devices

    公开(公告)号:US12207874B2

    公开(公告)日:2025-01-28

    申请号:US17574686

    申请日:2022-01-13

    Applicant: Alcon Inc.

    Abstract: An ophthalmic system for measuring an eye comprises measuring devices and a computer. The measuring devices comprise an optical coherence tomography (OCT) device and an aberrometer. The OCT device directs OCT light towards the eye, and detects the OCT light reflected from the eye to measure the eye. The aberrometer directs aberrometer light towards the eye, and detects the aberrometer light reflected from the eye to measure the eye. The computer generates an ocular model of the eye according to the reflected OCT light. The ocular model comprises parameters for the eye, where each parameter is assigned a value. The computer determines an OCT-based wavefront according to the ocular model, determines an aberrometer-based wavefront according to the reflected aberrometer light, ascertains a deviation between the OCT-based wavefront and the aberrometer-based wavefront, and evaluates measurements from one or more of the measuring devices according to the deviation.

    EVALUATING MEASUREMENTS USING INFORMATION FROM MULTIPLE MEASURING DEVICES

    公开(公告)号:US20220225874A1

    公开(公告)日:2022-07-21

    申请号:US17574686

    申请日:2022-01-13

    Applicant: Alcon Inc.

    Abstract: An ophthalmic system for measuring an eye comprises measuring devices and a computer. The measuring devices comprise an optical coherence tomography (OCT) device and an aberrometer. The OCT device directs OCT light towards the eye, and detects the OCT light reflected from the eye to measure the eye. The aberrometer directs aberrometer light towards the eye, and detects the aberrometer light reflected from the eye to measure the eye. The computer generates an ocular model of the eye according to the reflected OCT light. The ocular model comprises parameters for the eye, where each parameter is assigned a value. The computer determines an OCT-based wavefront according to the ocular model, determines an aberrometer-based wavefront according to the reflected aberrometer light, ascertains a deviation between the OCT-based wavefront and the aberrometer-based wavefront, and evaluates measurements from one or more of the measuring devices according to the deviation.

    AUTOMATED ASSESSMENT OF HUMAN LENS CAPSULE STABILITY

    公开(公告)号:US20220192485A1

    公开(公告)日:2022-06-23

    申请号:US17507659

    申请日:2021-10-21

    Applicant: Alcon Inc.

    Abstract: A method for assessing a lens capsule stability condition in an eye of a human patient includes directing electromagnetic energy in a predetermined spectrum onto a pupil of the eye, via an energy source, concurrently subsequent to a movement of the eye causing eye saccades to occur therein. The method also includes acquiring images of the eye indicative of the eye saccades using an image capture device, and computing, via the ECU, a motion curve of the lens capsule using the images. Additionally, the method includes extracting time-normalized lens capsule oscillation traces based on the motion curve via the ECU, and then model-fitting the lens capsule oscillation traces via the ECU to thereby assess the lens capsule instability condition. An automated system for performing an embodiment of the method is also disclosed herein, including the energy source, image capture device, and ECU.

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