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510(k) Data Aggregation

    K Number
    K980281
    Manufacturer
    Date Cleared
    1998-02-27

    (32 days)

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

    WELCH ALLYN XENON 300 LIGHT SOURCE

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

    The Welch Allyn 300 Watt Xenon Light Source is indicated for medical lighting applications requiring a remotely located, high intensity illumination. The device is not indicated for neonate transillumination.

    Device Description

    The purpose of the Welch Allyn 300 Watt Xenon Light Source is to provide lighting for medical applications requiring high intensity illumination. The intended use is to provide illumination for medical products such as existing and approved headlights and various existing and approved rigid or flexible endoscopes.

    AI/ML Overview

    The provided text describes a 510(k) summary for the Welch Allyn Xenon 300 Light Source. This device is a light source for medical applications, not a diagnostic AI device, therefore, many of the requested categories are not applicable.

    Here's the information that can be extracted or reasonably inferred from the document:

    1. Table of Acceptance Criteria and Reported Device Performance:

    Acceptance CriteriaReported Device Performance
    Safety Standards:
    UL 2601The system is designed to meet this standard.
    CSA 601-1The system is designed to meet this standard.
    IEC 601-1The system is designed to meet this standard.
    Electrical Safety (to patient and user)Device is designed to provide electrical safety.
    Mechanical Safety (to user)All contact surfaces shall be rounded, textured, or deburred where possible and if necessary.
    IEC601-1-2The system will be certified to this standard.
    Conformance with European Council Directive 93/42/EEC CE Mark (medical devices)The system will conform with provisions of this directive.
    ACGIH TLV's (Ultraviolet, Light, and Near Infrared Sections) equations (1994-1995)Will be used as a basis of comparison for the Welch Allyn 300 Watt Light Source and the predicate device in their intended application. (Implies the device will perform comparably or within acceptable limits based on these standards, though specific performance values are not given)
    Effectiveness/Intended Use:
    Provide high intensity illumination for medical applicationsThe device is effective for its intended use of providing illumination for medical products such as existing and approved headlights and various existing and approved rigid or flexible endoscopes.

    2. Sample size used for the test set and the data provenance:

    • Not Applicable. This is a hardware device (light source), not a software/AI device that would involve a "test set" in the context of data. The "testing" referred to is likely in the form of engineering and electrical safety compliance testing.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:

    • Not Applicable. As above, this is a hardware light source, not an AI device.

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

    • Not Applicable.

    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:

    • Not Applicable. This is a light source, not an AI-assisted diagnostic tool.

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

    • Not Applicable.

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

    • Not Applicable. The "ground truth" for this device relates to its ability to meet specified engineering, electrical, and optical performance standards, as well as safety regulations. These are typically established through laboratory testing, calibration, and compliance checks against industry standards (e.g., IEC, UL, CSA, ACGIH TLV's).

    8. The sample size for the training set:

    • Not Applicable. This device does not use a "training set" in the context of machine learning.

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

    • Not Applicable.
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