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510(k) Data Aggregation

    K Number
    K971347
    Device Name
    MEDISURF
    Date Cleared
    1997-07-03

    (84 days)

    Product Code
    Regulation Number
    892.2020
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    MEDISURF

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

    MediSurf is intended to facilitate access to clinical images and information in distributed locations. Along with image processing capabilities, MediSurf can be used by radiologists for on-call teleradiology over "intranets", Internet, direct or dial-up lines, and for providing second opinion services. It can also be used by physicians for enhanced interpretation of cases through the inclusion of images in imaging related reports and in patient records in general. Similarly it can be used by healthcare organization staff for facilitated access to clinical images throughout the healthcare organization.

    Device Description

    The MediSurf server is an access engine to healthcare information. MediSurf provides its end-users with easy access to DICOM devices and networks for the retrieval of images in full diagnostic quality using adaptive progressive compression for efficient transfer over different communication links. The server also provides the user with the software applets needed to display, process, store, and send the retrieved clinical data.

    The MediSurf server is based on off-the-shelf UNIX based computer that complies with the accepted international standards for computer systems. The system also comprises software developed and validated by Algotec Systems Ltd..

    AI/ML Overview

    The provided text is a 510(k) summary for the MediSurf device, which is a teleradiology system. It explicitly states that the device is substantially equivalent to a predicate device (ProVision Diagnostic Workstation) and does not introduce new features affecting safety or effectiveness. As such, the document does not contain information about acceptance criteria or a study proving the device meets specific performance metrics in the way a medical AI/CADe device would.

    The submission focuses on the substantial equivalence argument based on the device's technological characteristics and intended use being similar to the predicate device. It highlights that the core functionalities (image viewing, processing, archiving, communication) are largely shared, with the primary difference being the user interface (web browser vs. dedicated workstation interface).

    Therefore, I cannot populate the requested table and answer the specific questions about performance studies, sample sizes, expert ground truth, adjudication, or MRMC studies, as this information is not present in the provided 510(k) summary. These types of studies and details are typically required for different classes of medical devices or for AI/CADe devices demonstrating clinical performance, which MediSurf, as described here, is not.

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