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510(k) Data Aggregation

    K Number
    K233876
    Date Cleared
    2024-06-21

    (197 days)

    Product Code
    Regulation Number
    886.4670
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    UNITY VCS (8065000296); UNITY CS (8065000297)

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    UNITY VCS:
    The UNITY VCS console, when used with compatible devices, is indicated for use during anterior segment (i.e. phacoemulsification and removal of cataracts) and posterior segment (i.e. vitreoretinal) ophthalmic surgery.

    In addition, with the optional laser this system is indicated for photocoagulation (i.e. vitreoretinal and macular pathologies), iridotomy, and trabeculoplasty procedures.

    UNITY CS:
    The UNITY CS console, when used with compatible devices, is indicated for use during anterior segment (i.e. phacoemulsification and removal of cataracts) ophthalmic surgery.

    Device Description

    The UNITY VCS is a multifunctional surgical instrument for use in anterior and posterior segment ophthalmic surgeries. The capabilities of the UNITY VCS include driving a variety of handpieces that provide the ability to cut vitreous and tissues, emulsify the crystalline lens, illuminate the posterior segment of the eye, and apply diathermy to stop bleeding. Flow-controlled or vacuumcontrolled aspiration is used to remove ocular matter from the eye. Pressure-controlled irrigation/infusion capability is provided to replace fluid in the eye and enters the eye directly through either an infusion cannula or a handpiece. The graphical user interface is menu-driven. The operator provides inputs using the touchscreen panel, the remote control, and the foot controllers.

    An optional, fully integrated laser module is available that can be installed in the base of the UNITY VCS configuration for vitreoretinal surgery. The laser delivers the same visible 532-nm green treatment beam designed for ophthalmic use as in the predicate device.

    When used with compatible components and accessories, the system will perform anterior and posterior segment ophthalmic procedures, including irrigation, phacoemulsification, extraction, vitrectomy, diathermy coagulation, intraocular illumination, photocoagulation, viscous fluid control, tissue grabbing and cutting.

    The UNITY CS is a multifunctional surgical instrument for use in anterior segment ophthalmic surgeries. The capabilities of the UNITY CS include driving a variety of handpieces that provide the ability to cut anterior vitreous and tissues, emulsify the crystalline lens, and apply diathermy to stop bleeding. Flow-controlled or pressure-controlled aspiration is used to remove ocular matter from the eye. Pressure-controlled irrigation/infusion capability is provided to replace fluid in the eye and enters the eye directly through either an infusion cannula or a handpiece. The graphical user interface is menu-driven, and the operator provides inputs using the touchscreen panel, the remote control, and the foot controllers.

    When used with compatible components and accessories, the system will perform anterior segment ophthalmic procedures, including irrigation, phacoemulsification, extraction, vitrectomy, and diathermy coagulation.

    The UNITY VCS and UNITY CS are intended to be used within a clinic(s)/hospital(s)/surgical practice network.

    Both devices are for prescription use only.

    AI/ML Overview

    The provided text does not contain information about studies involving AI/ML components or their acceptance criteria. The document is an FDA 510(k) premarket notification for two ophthalmic surgical systems, UNITY VCS and UNITY CS, demonstrating their substantial equivalence to predicate devices. The studies summarized are non-clinical testing for biocompatibility, sterilization and shelf life, electromagnetic compatibility/wireless/electrical safety, software, and performance testing, all of which are standard for medical device clearance and do not involve AI/ML performance metrics, expert consensus, or MRMC studies.

    Therefore, I cannot provide the requested table and information as it is not present in the given text.

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