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公开(公告)号:US20230031527A1
公开(公告)日:2023-02-02
申请号:US17870304
申请日:2022-07-21
Applicant: Alcon Inc.
Inventor: Pooria Sharif Kashani , George Hunter Pettit , Brant Gillen
IPC: A61B3/10
Abstract: Certain aspects of the present disclosure provide an ophthalmic measurement device. The device comprises one or more ophthalmic measurement features, configured to generate a measurement for an anatomical characteristic of an eye of a patient, and a user interface, configured to enable a medical practitioner to interact with the ophthalmic measurement device and a memory. The device also comprises a hardware processor configured to: determine whether the measurement satisfies measurement criteria based on comparing the measurement with the measurement criteria, upon determining that the measurement does not satisfy the measurement criteria, cause the one or more ophthalmic measurement features to generate a new measurement for the anatomical characteristic, determine whether the new measurement satisfies the measurement criteria based on comparing the new measurement with the measurement criteria, and, upon determining that the new measurement satisfies the measurement criteria, cause the user interface to display the new measurement.
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公开(公告)号:US20220031512A1
公开(公告)日:2022-02-03
申请号:US17380992
申请日:2021-07-20
Applicant: Alcon Inc.
Inventor: David Thoe , Brant Gillen , George Hunter Pettit , Marcos H. Zamorano , Keith Watanabe , Ramesh Sarangapani , Sinchan Bhattacharya , Joseph Weatherbee
Abstract: Systems and methods for assisting in the removal of a cataract from an eye can include obtaining pre-operative data for the eye, the pre-operative data including imaging data associated with the lens of the eye, determining a lens density map based on the imaging data associated with the lens, and generating laser fragmentation patterns for a laser fragmentation procedure based on the lens density map.
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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.
Inventor: John Alfred Campin , Brant Gillen , Martin Gründig , Robert Moore , George Hunter Pettit , Mark Andrew Zielke
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.
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