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510(k) Data Aggregation

    K Number
    K041029
    Device Name
    KINETDX
    Date Cleared
    2004-07-08

    (78 days)

    Product Code
    Regulation Number
    892.2050
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    KINETDX

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

    The intended use of the KinetDx system is for the acceptance, transfer, display, storage, and post-processing of digital medical images, including manipulation and quantification.

    Device Description

    The KinetDx system is a digital image management system that includes a server. This system receives, stores, distributes, and archives images from digital image acquisition devices such as ultrasound and x-ray angiography machines. The system has workstations that can be used to review, edit, and manipulate image data; as well as review, generate quantitative data, qualitative data, and diagnostic reports.

    AI/ML Overview

    The provided 510(k) summary for the KinetDx system (K041029) does not contain any information regarding acceptance criteria or a study proving the device meets acceptance criteria.

    The document primarily focuses on establishing substantial equivalence to previously cleared predicate devices (K023772 and K992259). It describes the device's intended use, general characteristics, and safety aspects, but it does not detail any performance claims or the results of a specific study to validate those claims against quantifiable acceptance criteria.

    Therefore, I cannot populate the table or answer the specific questions as the required information is not present in the provided text.

    The document states:

    • "Risk management is ensured via a risk analysis, which is used to identify potential hazards. These potential hazards are controlled via software development, verification and validation testing."
    • "In summary, Siemens is of the opinion that KinetDx does not introduce any new potential safety risks and is substantially equivalent to and performs as well as the predicate devices."

    These statements indicate that some form of verification and validation was performed to establish safety and substantial equivalence, but the details of these tests, including specific acceptance criteria and outcome measurements, are not included in this summary.

    To provide the requested information, a different section of the 510(k) submission (e.g., performance testing reports) would be needed.

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    K Number
    K023772
    Manufacturer
    Date Cleared
    2002-11-22

    (10 days)

    Product Code
    Regulation Number
    892.2050
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    KINETDX PICTURE ARCHIVING AND COMMUNICATIONS SYSTEM

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

    The intended use of the KinetDx, is for the acceptance, transfer, display, storage, and digital processing of diagnostic ultrasound, CT, MRI, and X-ray angiography images, including manipulation and quantification of the images.

    Device Description

    KinetDx is a picture archival and communications system (PACS) that includes a dedicated DICOM server used for image and data storage, retrieval, and archiving. The server accepts images and data from DICOM acquisition devices attached to it by way of a network. The system also includes one or more workstations networked with the server, which are used for clinical review of images and data. Workstations also allow editing of patient demographic and clinical data, image manipulation, and preparation of clinician's reports.

    AI/ML Overview

    The provided text is a 510(k) summary for the KinetDx Medical Image Management Device, a PACS system. It describes the device, its intended use, and its substantial equivalence to predicate devices. However, this document does not contain information about acceptance criteria or a study demonstrating the device meets those criteria, as typically found in clinical validation studies.

    PACS systems function as image management devices rather than diagnostic algorithms that produce specific findings requiring clinical performance metrics. Their "performance" is generally related to their ability to correctly store, retrieve, display, and process images, and their interoperability with other medical devices.

    Therefore, most of the requested information regarding acceptance criteria, study design, expert involvement, and ground truth cannot be extracted from this particular 510(k) summary.

    Here's an assessment based on the available information:

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

      • Not provided. This type of 510(k) summary for a PACS device typically focuses on substantial equivalence to predicate devices, and the functional characteristics rather than performance metrics against specific clinical acceptance criteria.
    2. Sample size used for the test set and the data provenance (e.g., country of origin of the data, retrospective or prospective):

      • Not provided. No specific test set for evaluating diagnostic performance is mentioned. The device's "performance" would likely be assessed through engineering verification and validation (e.g., image integrity, speed of retrieval, display accuracy), which are not detailed here.
    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 no clinical performance study involving diagnostic accuracy is described, there's no mention of experts establishing ground truth for such a study.
    4. Adjudication method (e.g., 2+1, 3+1, none) for the test set:

      • Not applicable. No clinical performance study is described.
    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 device (KinetDx) is a PACS system for image management, not an AI-powered diagnostic algorithm. Therefore, an MRMC study comparing human reader performance with and without AI assistance is not relevant to this device's function.
    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done:

      • Not applicable. KinetDx is an image management system, not a standalone diagnostic algorithm.
    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.):

      • Not applicable. No clinical performance study requiring ground truth is described.
    8. The sample size for the training set:

      • Not applicable. KinetDx is a PACS system; it does not explicitly use a "training set" in the machine learning sense to develop its core functionality. Its software is developed and tested through traditional software engineering processes.
    9. How the ground truth for the training set was established:

      • Not applicable.

    Summary based on available information:

    The KinetDx is a Picture Archival and Communications System (PACS). Its 510(k) submission focuses on demonstrating substantial equivalence to predicate PACS devices (EchoLink, ALI UltraPacs, ALI DataComPacs Module) based on technological characteristics (standard computer hardware, proprietary software, Windows 2000 OS, optional DAP card for faster decompression/display) and intended use (acceptance, transfer, display, storage, digital processing, manipulation, and quantification of diagnostic ultrasound, CT, MRI, and X-ray angiography images).

    The document does not contain details of specific performance criteria or a clinical study to prove diagnostic accuracy, as this is not the primary function of a PACS system. Its "performance" would be related to its engineering validation and verification, ensuring it reliably manages and displays images as intended and substantially equivalent to predicate devices.

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