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510(k) Data Aggregation

    K Number
    K192145
    Manufacturer
    Date Cleared
    2020-04-21

    (257 days)

    Product Code
    Regulation Number
    888.3060
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K102449

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

    When used as a single-level partial vertebral body replacement devices are indicated for use in the cervical spine (C2-T1) of skeletally mature patial replacement (i.e., partial vertebrectomy) of a vertebral body resected or excised for the treatment of tumors, or traumaffracture, or osteomyelitis, or to achieve decompression of the spinal cord and neural tissues in cervical degenerative disorders. The device is intended for use with autograft or allogenic bone graft comprising cancellous and/or corticocancellous bone graft. When the Galileo™ device is used as a single-level, partial vertebral body replacement device, supplemental fixation may be used.

    Device Description

    The Galileo Vertebral Body Replacement device is a surgical grade titanium (Ti-6A1-4V) device and is available in various widths and heights. It has openings of various sizes to allow for the placement of bone graft and for the free flow of cells between the bone graft and the bone of the patient. It is intended for partial vertebral body replacement in a single vertebra and to hold bone graft material.

    AI/ML Overview

    The provided document does not describe the acceptance criteria and study that proves a device (Galileo Vertebral Body Replacement Device) meets the acceptance criteria in the context of an AI/ML medical device.

    The document is a 510(k) summary for a physical medical device: a vertebral body replacement. The studies described are non-clinical mechanical performance tests (ASTM F2077 and ASTM F2267) to demonstrate the device's structural integrity and resistance to subsidence and expulsion. These are standard engineering tests for implantable devices, not AI/ML performance evaluation studies.

    Therefore, I cannot provide the requested information regarding AI/ML device acceptance criteria, performance, sample sizes, expert ground truth adjudication, MRMC studies, or training set details, as this information is not present in the provided text.

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