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510(k) Data Aggregation

    K Number
    K102435
    Date Cleared
    2010-10-15

    (50 days)

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

    BEYONDIMAGE WORKSTATION

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

    BeyondImage Workstation is a software application that is used for viewing medical images. Beyond mage Workstation receives digital images and data from various sources (including but not limited to CT, MR, US, RF units, computed and digital radiographic devices). Images are stored, communicated, processed and displayed on the local disc of a workstation and/or across computer networks at distributed locations. Taking that users may perform when viewing images include, but are not limited to adjustment of window width and center; image stacking; annotation and measurement of regions of interest; and inversion, rotation, and flips of images, it also provides standard Multi-Planar Reconstruction (MPR) views, Curved-Planar Reconstruction (CPR) views and 3D views of Volume Rendering for digital images from CT, MR, and PET unit. In addition, using Beyondlmage Workstation, users can edit and print report.

    Beyondlmage Workstation cannot display and process mammograms.

    Typical users of Beyondlmage Workstation are trained medical professionals, including but not limited to radiologists, clinicians, technologists, and others.

    Device Description

    BeyondImage Workstation is a software application that provides image viewing and manipulation in a diagnostic imaging setting. The functions of this application are applied to medical images that are acquired and stored on an image server in DICOM format. Beyondlmage Workstation can also transfer images in DICOM 3.0 format over a medical imaging network, as well as exporting images to applications in other proprietary formats.

    AI/ML Overview

    The provided text is a 510(k) Summary of Safety and Effectiveness for the BeyondImage Workstation 2.0. This document primarily focuses on establishing substantial equivalence to predicate devices and describes the device's functionality. It does not contain details about acceptance criteria, a specific study proving the device meets those criteria, or information on sample sizes, ground truth establishment, or expert involvement for a performance study.

    Therefore, I cannot extract the requested information from the provided text. The document acts as a regulatory submission confirming the device's intended use and technological similarity to existing approved devices, rather than a detailed report of a performance study with specific metrics and methodologies.

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    K Number
    K092235
    Date Cleared
    2009-08-06

    (14 days)

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

    BEYONDIMAGE WORKSTATION

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

    Beyondlmage Workstation is a software application that is used for viewing medical images, BeyondImage Workstation receives digital images and data from various sources (including but not limited to CT, MR, US, RF units, computed and digital radiographic devices). Images are stored, communicated, processed and displayed on the local disc of a workstation and/or across computer networks at distributed locations. Tasks that users may perform when viewing images include, but are not limited to adjustment of window width and center; image stacking; annotation and measurement of regions of interest; and inversion, rotation, and flips of images. It also provides standard Multi-Planar Reformation (MPR) views and 3D views of Volume Rendering for digital images from CT, MR, and PET unit. In addition, using BeyondImage Workstation, users can edit and print report. Beyondlmage Workstation cannot display and process mammograms.

    Typical users of Beyondlmage Workstation are trained medical professionals, including but not limited to radiologists, clinicians, technologists, and others.

    Device Description

    Beyondlmage Workstation is a software application that provides image viewing and manipulation in a diagnostic imaging setting. The functions of this application are applied to medical images that are acquired and stored on an image server in DICOM format. Beyondlmage Workstation can also transfer images in DICOM 3.0 format over a medical imaging network, as well as exporting images to applications in other proprietary formats.

    BeyondImage Workstation cannot receive, display and process the images with non-DICOM3.0 format.

    Beyondlmage Workstation cannot display and process mammograms.

    AI/ML Overview

    The provided 510(k) summary (K092235) for the Neusoft BeyondImage Workstation does not contain any information about acceptance criteria or a study that proves the device meets specific performance criteria.

    This 510(k) is a Traditional 510(k), which aims to demonstrate substantial equivalence to a legally marketed predicate device. In such cases, the primary focus is on comparing the new device's intended use, technological characteristics, and performance data (if any) to those of the predicate device(s). The document explicitly states: "We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent... to legally marketed predicate devices."

    Therefore, I cannot provide the requested information. The document focuses on demonstrating substantial equivalence to existing PACS workstations (eFilm Workstation K012211 and Omni-Vue System K073062) rather than presenting a performance study with specific acceptance criteria for the BeyondImage Workstation itself.

    To directly answer your questions based only on the provided text, the response would be as follows:

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

      • Not found in the provided document. The document does not specify quantitative acceptance criteria or report specific performance metrics for the BeyondImage Workstation. It focuses on functional equivalence to predicate devices.
    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/Not found. The document does not describe a performance study with a test set.
    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/Not found. The document does not describe a performance study with a test set where ground truth was established by experts.
    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set:

      • Not applicable/Not found. The document does not describe a performance study with a test set.
    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:

      • No. This device is a PACS workstation for viewing and manipulating images, not an AI-assisted diagnostic tool. No MRMC study is mentioned or relevant for this type of device.
    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done:

      • Not applicable/Not found. This is a workstation software, not an autonomous algorithm.
    7. The type of ground truth used (expert concensus, pathology, outcomes data, etc):

      • Not applicable/Not found. The document does not describe a performance study requiring ground truth.
    8. The sample size for the training set:

      • Not applicable/Not found. This device is a PACS workstation for displaying and manipulating images. It is not an AI/ML device that requires a training set in the typical sense for clinical performance.
    9. How the ground truth for the training set was established:

      • Not applicable/Not found. As above, no training set or ground truth establishment is described.

    In summary, the provided 510(k) documentation focuses entirely on demonstrating substantial equivalence through a comparison of intended use and technological characteristics with predicate devices, as is common for PACS systems. It does not include information on specific performance acceptance criteria or a dedicated study to meet such criteria.

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