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510(k) Data Aggregation

    K Number
    K230136
    Date Cleared
    2023-04-24

    (96 days)

    Product Code
    Regulation Number
    892.1680
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    TrueView 200 Pro-US Specimen Radiography System (TrueView 200 Pro-US)

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

    A cabinet X-ray system used to provide digital X-ray images of surgical and core biopsy specimens from various anatomical regions in order to allow rapid verification that the correct tissue has been excised during the procedure.

    Doing the verification in the same room as the procedure or nearby improves workflow, thus reducing the overall operative time.

    Device Description

    The TrueView 200 Pro-US is a Cabinet X-ray System intended to provide the detailed radiographic imaging of small surgical excised or biopsy specimens and to further provide rapid verification that correct tissue has been excised. The TrueView 200 Pro-US includes the following major components: system monitor, touch-screen control display, and an imaging cabinet.

    This all-in-one system includes shielding that is incorporated within the cabinet chamber system design, eliminating the need for separate shielding. The unit is mounted on casters for easy transportation.

    AI/ML Overview

    The provided document is a 510(k) premarket notification for the TrueView 200 Pro-US Specimen Radiography System. It primarily focuses on demonstrating substantial equivalence to a predicate device (TrueView 100 Pro) rather than describing a study proving the device meets specific acceptance criteria for AI performance.

    Therefore, many of the requested details, particularly those related to AI algorithm performance (e.g., sample sizes for test/training sets, expert ground truth, MRMC studies, specific acceptance criteria for AI metrics), are not present in this document. This device is a cabinet X-ray system, suggesting it's hardware for imaging, not an AI-powered diagnostic tool. The document doesn't mention any AI components or algorithms that would require such specific performance testing.

    Here's what can be extracted from the document, and where information is missing:


    1. Table of Acceptance Criteria and Reported Device Performance

    The document does not explicitly state "acceptance criteria" in the context of AI performance metrics (e.g., sensitivity, specificity, AUC). Instead, it focuses on demonstrating compliance with recognized standards and functional performance of the radiography system.

    Criteria TypeDescription (from document)Performance/Compliance (from document)
    Standards Compliance- ANSI UL 61010-1 3rd Ed
    • IEC 61010-2-091:2019
    • IEC 61010-2-101:2018
    • IEC 61326-1 Edition 3.0 2020-10
    • IEC 61326-2-6 Edition 3.0 2020-10
    • ISTA 3B-2017
    • 21 CFR 1020.40 | Complies with applicable IEC-61010 standards (general electrical safety including mechanical hazards plus particular standards for cabinet x-ray systems) and international EMC standards. Compliance demonstrated by Intertek (third-party test house). |
      | Functional Performance (Bench Testing) | - Functional testing
    • Usability testing | Successfully performed design control verification tests and validation tests. Results support substantial equivalence. |
      | Imaging Performance Parameters | - Limiting Spatial Resolution
    • Output Image
    • Display Monitor
    • Time to Preview
    • Cycle Time | - 10 lp/mm
    • 14-bit image data
    • 2.3 MP High luminescence diagnostic monitor
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