Cannula system with retention feature

    公开(公告)号:US11696851B2

    公开(公告)日:2023-07-11

    申请号:US16829223

    申请日:2020-03-25

    Applicant: Alcon Inc.

    Abstract: Certain embodiments provide a cannula system with a retention mechanism comprising a cannula, a hub coupled to the cannula, wherein a distal end of the cannula is configured to be inserted into a body part up to the hub, and a retention mechanism configured to create resistance for retaining the cannula inside the body part in response to force exerted on the cannula for pulling the cannula out of the body part. The retention mechanism may include retention elements coupled to a bottom surface of the hub, and by rotating the hub in a first direction, the one or more retention elements that are parallel to a surface of the body part are configured to penetrate the body part. In other embodiments, the retention mechanism may include halfpipe elements that pivot on fulcrum points to hold or release the hub and cannula from the body part.

    OPTICAL SYSTEM FOR OBTAINING SURGICAL INFORMATION

    公开(公告)号:US20230181364A1

    公开(公告)日:2023-06-15

    申请号:US18062639

    申请日:2022-12-07

    Applicant: Alcon Inc.

    Abstract: In certain embodiments, an optical system for obtaining surgical information includes a probe housing a first optical fiber, a light source, a photoanalyzer, and an optical circulator optically coupled to each of the first optical fiber, the light source, and the photoanalyzer. The optical circulator has a first port configured to receive source light generated from the light source, a second port configured to transmit the source light from the first port to the first optical fiber, and a third port configured to transmit return light in the first optical fiber from the second port to the photoanalyzer. The first optical fiber is configured to emit at least a portion of the source light in the first optical fiber from the probe to contact a body structure, and collect light returning from the body structure as a result of the portion of the source light contacting the body structure.

    MULTI-IMPLEMENT SURGICAL DEVICE
    116.
    发明公开

    公开(公告)号:US20230172750A1

    公开(公告)日:2023-06-08

    申请号:US18059592

    申请日:2022-11-29

    Applicant: Alcon Inc.

    CPC classification number: A61F9/007 A61B90/30

    Abstract: A device for surgery that accommodates multiple different implements. The implements may be exchanged or changed out for one another over the course of a surgery in a manner that does not require disengagement of the device from a surgical site. As a result, the need to re-insert the device into the patient and other hazards associated with multiple trips into the surgical site may be minimized. In one embodiment, the device includes cannula architecture to avoid use of a separate cannula at the surgical site.

    OPHTHALMIC PROCEDURE CONTACT LENS WITH ENHANCED VITREOUS VISUALIZATION

    公开(公告)号:US20230157891A1

    公开(公告)日:2023-05-25

    申请号:US17938579

    申请日:2022-10-06

    Applicant: Alcon Inc.

    CPC classification number: A61F9/009 A61B90/35 A61F2009/00874

    Abstract: In certain embodiments, an ophthalmic procedure contact lens for ophthalmic treatment of an eye with a laser beam includes a frame, an objective lens, and an illumination ring. The frame has an eye end, an operator end, and a flange-like shape with an interior region. The eye end is configured to be disposed outwardly from the eye. The objective lens is disposed within the interior region of the frame. The objective lens transmits the laser beam through the eye end to treat the eye. The illumination ring is coupled to the frame and provides annular illumination through the eye end to illuminate the eye. The illumination ring includes a ring substrate and light emitters coupled to the ring substrate. The light emitters emit light.

    SYSTEMS AND METHODS FOR VITREOUS DISEASE SEVERITY MEASUREMENT

    公开(公告)号:US20230157811A1

    公开(公告)日:2023-05-25

    申请号:US18054424

    申请日:2022-11-10

    Applicant: Alcon Inc.

    Inventor: Paul R. Hallen

    CPC classification number: A61F2/16 A61B3/1005 A61B3/102 A61B3/107

    Abstract: Certain aspects presented herein provide systems and methods utilizing one or more machine learning models in determining a severity of vitreous disease, and in particular, vitreous opacities. Such machine learning models are trained based on historical patient data to determine the severity of vitreous opacities afflicting a current patient. The severity determination may thereafter be utilized to inform treatment decisions for the current patient, including patient suitability for certain types of treatment.

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