Search Filters

Search Results

Found 1 results

510(k) Data Aggregation

    K Number
    K032283
    Date Cleared
    2003-08-20

    (27 days)

    Product Code
    Regulation Number
    876.1500
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    DESIGNS FOR VISION FIBEROPTIC LIGHT

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

    The Designs for Vision Fiberoptic Light is indicated for use in surgery and medical applications where high intensity illumination is required.

    Device Description

    The Designs for Vision Fiberoptic Light is composed of a high intensity light source, fiberoptic cables, and fiberoptic headsets. The Designs for Vision headsets have been marketed since the early 1970s with a long history of safe use in the surgical suite. The headsets are coaxial, bifurcated, or focusable designs.

    The light source includes a chuck for fiberoptic cable attachment. The Light source provides a 150-watt power output and contains a continuous illumination level adjustment, which provides 3200 K color temperature light.

    AI/ML Overview

    The provided text is a 510(k) summary for the Designs for Vision Fiberoptic Light. It describes the device, its intended use, and its substantial equivalence to predicate devices. However, it does not contain the detailed information required to describe acceptance criteria and a study proving those criteria are met in the format requested.

    Specifically, the document states: "Testing has been performed which demonstrates the electrical safety and electromagnetic compatibility characteristics of the Designs for Vision Fiberoptic Light." but it does not provide any specifics about this testing, performance outcomes, or acceptance criteria.

    Therefore, I cannot populate the requested table and answer the study-specific questions based on the provided text.

    Here is what I can extract based on the available information, noting the significant gaps:

    1. A table of acceptance criteria and the reported device performance

    Acceptance Criteria CategorySpecific CriteriaReported Device Performance
    Electrical Safety(Not specified in document)"demonstrates the electrical safety"
    Electromagnetic Compatibility (EMC)(Not specified in document)"demonstrates the electromagnetic compatibility characteristics"
    Intended UseHigh intensity illumination required for surgery and medical applicationsDevice is indicated for this use and has "similar technological characteristics" to predicate devices.

    Missing Information for Table:

    • Specific quantitative or qualitative acceptance criteria for electrical safety and EMC.
    • Detailed performance results for each criterion.

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    • Sample Size (Test Set): Not specified.
    • Data Provenance: Not specified.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

    • Not applicable as the document does not describe a study involving expert-established ground truth for a test set. The validation seems to be primarily through regulatory compliance and substantial equivalence to existing devices.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    • Not applicable (see point 3).

    5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    • No MRMC or AI-assisted study is mentioned. This device is a fiberoptic light, not an AI diagnostic tool.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    • Not applicable (see point 5).

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

    • Not applicable. The "ground truth" for this device appears to be functional safety (electrical, EMC) and meeting its intended purpose as a light source, likely assessed through engineering tests and comparison to predicate devices, rather than a diagnostic performance ground truth.

    8. The sample size for the training set

    • Not applicable. This device is not an AI/machine learning model that would require a training set.

    9. How the ground truth for the training set was established

    • Not applicable (see point 8).
    Ask a Question

    Ask a specific question about this device

    Page 1 of 1