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510(k) Data Aggregation

    K Number
    K052268
    Device Name
    VISUCAM PRO NM
    Date Cleared
    2005-11-02

    (75 days)

    Product Code
    Regulation Number
    886.1120
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The VISUCAM™ PRO NM Digital Camera is suitable for photographing, displaying and storing the data of the retina and surrounding parts of the eye to be examined under mydriatic and non-mydriatic conditions. These photographs support the diagnosis and subsequent observation of eye diseases which can be visually monitored and photographically documented.

    Device Description

    The VISUCAM™ PRO NM Digital Camera is intended to capture, display and store images of the eye, especially the retinal area, as well as surrounding areas, to aid in diagnosing or monitoring diseases of the eye that may be observed and photographed. The VISUCAM™ PRO NM Digital Camera is indicated for use in non-mydriatic mode. As such, it incorporates appropriate light sources so that retinal areas of interest may be observed under non-mydriatic conditions and images may be captured with a flash illumination.

    AI/ML Overview

    This is a premarket notification (510k) for the Carl Zeiss Meditec VISUCAM™ PRO NM Digital Camera, which is a medical imaging device (specifically, an ophthalmic camera).

    The provided text does not contain acceptance criteria, a study proving device performance against acceptance criteria, or details regarding AI/algorithm performance.

    A 510(k) submission primarily demonstrates substantial equivalence to a legally marketed predicate device. In this case, the VISUCAM™ PRO NM Digital Camera is shown to be substantially equivalent to the VISUCAM™ C Digital Camera (K043222). This type of submission generally relies on demonstrating that the new device has the same intended use, technological characteristics, and performs as safely and effectively as the predicate device. It does not typically involve extensive clinical studies with specific performance metrics and acceptance criteria in the way an AI/ML medical device submission would.

    Therefore, I cannot populate the requested table or provide answers to the questions regarding acceptance criteria, study details, sample sizes, expert involvement, adjudication methods, MRMC studies, standalone performance, or ground truth for training/test sets. These concepts are not addressed in this 510(k) submission.

    The document states: "As described in this 510(k) Summary, all testing deemed necessary was conducted on the VISUCAM™ PRO NM Digital Camera to ensure that the device is safe and effective for its intended use when used in accordance with its Instructions for Use." However, it does not detail what "all testing deemed necessary" entailed or any specific performance targets.

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    K Number
    K021787
    Device Name
    VISUCAM
    Date Cleared
    2002-06-21

    (22 days)

    Product Code
    Regulation Number
    892.2010
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The VISUCAM™ Fundus Camera is intended to capture, display and store images of eye, especially the retina area, as well as surrounding areas, to aid in diagnosing or monitoring diseases of the eye that may be observed and photographed.

    Device Description

    The VISUCAMite model is designed for a more general ophthalmology practice than the VISUPAC Fundus Camera. Therefore the VISUCAM™ is a more compact model of the VISUPAC Fundus Camera and designed for less specialized ophthalmic practices. Certain technical specifications for the VISUCAMite have been modified because the VISUCAM™ model is not designed for indocyanine angiography and imaging that requires very high image resolution, different field angles, and corresponding viewing fields. Specifically, Zeiss has modified the cleared device to: {1} reduce the light intensity; (2) eliminate specific device equipment like an external power supply unit, an external computer with storage and archiving module, and different external dedicated electronic cameras as well as dedicated photographic equipment; (3) reduce the available viewing angles and image resolution; and (4) revise the device software to accommodate less demanding image processing requirements.

    AI/ML Overview

    The provided text describes a 510(k) premarket notification for a device modification, not a study designed to meet specific acceptance criteria with performance metrics. The document asserts "substantial equivalence" to a predicate device rather than demonstrating performance against a predefined set of criteria through a dedicated study.

    Therefore, many of the requested details about acceptance criteria, specific study design, sample sizes, expert involvement, and ground truth establishment are not present in this type of regulatory submission. The submission focuses on explaining the modifications and arguing that these modifications do not affect safety or efficacy when compared to the previously cleared predicate device.

    Here's an attempt to answer the questions based only on the provided text, highlighting where information is absent:

    Acceptance Criteria and Device Performance

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

    The document does not provide a table of acceptance criteria or specific reported device performance metrics against such criteria. The core assertion is that the modified device is "virtually identical" to the predicate with "minor variations that are detailed introduced," meaning it is expected to perform equivalently.

    The modifications are:

    • Reduced light intensity.
    • Elimination of specific device equipment (external power supply, external computer with storage/archiving, external dedicated electronic cameras, dedicated photographic equipment).
    • Reduced available viewing angles and image resolution.
    • Revised device software for less demanding image processing.

    The conclusion drawn is that these modifications "do not affect any question for safety and efficacy," implying the device's performance, post-modification, is still considered safe and effective at a level comparable to the predicate for its intended use, despite the reduced capabilities.

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

    Not applicable. This is a 510(k) submission for a device modification asserting substantial equivalence. There is no mention of a formal "test set" or a study involving patient data to evaluate performance for these specific modifications. The comparison appears to be on the technical specifications and components of the modified device versus the predicate device.

    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. No "experts" are described as being used to establish ground truth for a test set in this regulatory submission. The comparison is feature-based against the predicate device.

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

    Not applicable. No test set requiring adjudication is mentioned.

    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 document pertains to a fundus camera modification, not an AI-based diagnostic tool. No MRMC study is mentioned.

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

    Not applicable. This document pertains to a fundus camera, not an algorithm, and no standalone performance study is mentioned.

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

    Not applicable. No ground truth is established or discussed in the context of a performance study for these modifications. The "ground truth" for the submission is the performance and safety profile of the legally marketed predicate device (FF450plus Fundus Camera and VISUPAC Digital Image Archiving System).

    8. The sample size for the training set

    Not applicable. This is not an AI/machine learning device; thus, no training set size is relevant or mentioned.

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

    Not applicable. See point 8.

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