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510(k) Data Aggregation

    K Number
    K143123
    Manufacturer
    Date Cleared
    2015-02-24

    (116 days)

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

    Synergetics PHOTON EX

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

    The intended use of the device is to illuminate the eye during anterior and posterior vitreoretinal surgery.

    Device Description

    The PHOTON EX is a table-top, xenon lamp lightsource used for intraocular illumination during vitreoretinal surgery. The lightsource employs two channels from a single lamp. The channels terminate with entry ports on the unit's front panel. Each channel has a dedicated filter wheel; the filter wheels include the following band pass filters with an upper cut-off at 650 nm and lower cut-offs at 435nm, 475nm, 475nm, and 515nm respectively. The user inputs are controlled by membrane switches on the front panel.

    AI/ML Overview

    The provided text describes a 510(k) premarket notification for a medical device called PHOTON EX, an ophthalmic light source. The document focuses on establishing substantial equivalence to a predicate device (Synerlight) rather than providing detailed acceptance criteria and a comprehensive study for de novo approval.

    Therefore, the requested information for acceptance criteria and a study proving the device meets them, especially with specific details like ground truth establishment, expert qualifications, adjudication methods, and MRMC studies, cannot be found in this document.

    This type of submission (510(k)) primarily demonstrates that a new device is as safe and effective as a legally marketed predicate device. The information provided is generally a comparison of technological characteristics and a summary of non-clinical tests to show equivalence.

    However, I can extract the information that is present in the document which relates to performance and testing:

    Device: Synergetics PHOTON EX
    Predicate Device: Synergetics Synerlight FiberOptic Lightsource, K032598
    Intended Use: The intended use of the device is to illuminate the eye during anterior and posterior vitreoretinal surgery.

    Here's an attempt to answer the questions based on the available information, noting where information is explicitly not present in the document:


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

    The document does not explicitly state acceptance criteria in a quantitative manner for specific performance metrics (e.g., "illumination intensity must be > X lumens with a tolerance of Y%"). Instead, it focuses on demonstrating equivalence to the predicate device.

    Acceptance Criteria (Implied by equivalence)Reported Device Performance (Summary of Non-clinical Tests)
    Safety: Complies with applicable requirements of safety standards.The PHOTON EX has undergone testing and complies with the applicable requirements of safety standards.
    Effectiveness: Similar performance profile to the predicate device.The subject device performed equivalently to the predicate device in a comparative bench test. The device is as safe and effective as the predicate device.
    Technological Characteristics: Similar to or improved upon predicate.Many characteristics are directly compared and are either identical or represent an improvement (e.g., digital control vs. analog, more filter options).

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

    This information is not provided in the document. The document mentions "comparative bench test" but does not detail the sample size (e.g., number of units tested, number of test cycles), data provenance, or study design.

    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)

    This information is not provided in the document. For a physical device like an ophthalmic light source, "ground truth" as it applies to diagnostic interpretation or clinical outcomes (which would involve experts) is not typically the focus of a 510(k) submission. Performance is usually assessed through engineering benchmarks and comparative tests against the predicate.

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

    This information is not provided in the document.

    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

    An MRMC study is relevant for diagnostic devices that involve human interpretation, often assisted by AI. The PHOTON EX is an ophthalmic light source, a non-diagnostic device used for illumination during surgery. Therefore, an MRMC study is not applicable and was not performed for this device in the context of this 510(k) submission.

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

    A "standalone" performance evaluation typically refers to the performance of an algorithm or an automated system without human intervention, again common in AI-driven diagnostic devices. Since the PHOTON EX is a surgical light source, this concept is not applicable and was not performed. Its performance is assessed through its physical characteristics and functionality.

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

    For a physical light source, "ground truth" would relate to measurable physical parameters (e.g., light output intensity, spectral purity, color temperature, beam uniformity, operational safety). The document states "The PHOTON EX has undergone testing and complies with the applicable requirements of safety standards." and "The subject device performed equivalently to the predicate device in a comparative bench test." This implies that the ground truth for performance was established through engineering specifications, safety standards, and direct comparative measurements against the predicate device's measured performance. Details of these specific ground truths (e.g., the exact safety standards, detailed performance metrics) are not provided.

    8. The sample size for the training set

    This information is not provided in the document. The concept of a "training set" is typically associated with machine learning or AI models, which are not described as part of this device.

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

    As the concept of a "training set" is not applicable or discussed for this device, information on how its ground truth was established is not provided.

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