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510(k) Data Aggregation

    K Number
    K022877
    Manufacturer
    Date Cleared
    2003-02-05

    (159 days)

    Product Code
    Regulation Number
    892.2050
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    OBserver Ultrasound Reporting and Imaging System is intended to automate and enhance the process by which ultrasound examination information is entered and by which ultrasound images are stored and reviewed by physicians in the field of maternal-fetal medicine. The system also provides significant research data for academic institutions.

    Device Description

    The Vision Chips ultrasound reporting and imaging system consists of comprehensive reporting and image archiving software for use in the field of obstetrics and gynecology. It enables physicians to generate reports documenting the results of ultrasound exams and to view the images that were captured during those exams. The system also enables physicians to perform research on all data that have been entered into the program.

    Ultrasound machines may transfer ASCII text based information to the system by means of a serial interface. Ultrasound images are received either by means of a standard frame grabber connected to the ultrasound video output or directly across the network using DICOM protocols. Still images are stored as standard jpegs or in DICOM format, cine loops are stored as mpegs, AVIs or in multi frame DICOM format.

    All hardware required for the system, including computers, storage devices, monitors and frame grabbers, consists of standard, off the shelf components.

    AI/ML Overview

    The provided text is a 510(k) summary for the Vision Chips, Inc. OBserver™ OB/GYN Ultrasound Reporting and Imaging System. This document focuses on demonstrating substantial equivalence to predicate devices rather than proving a device meets specific performance acceptance criteria through a clinical study.

    Therefore, the requested information regarding acceptance criteria, study details, sample sizes, ground truth establishment, expert qualifications, adjudication methods, and MRMC effectiveness studies is not present in the provided text.

    The document primarily describes the device, its intended use, and argues for its substantial equivalence to other legally marketed devices (ALI Ultras PACS and comPACS, R4's Remote Fetal Medicine Ultrasound System, and Digisonics OB-View) based on similar features and functionalities. It does not detail new performance claims that would necessitate a study with defined acceptance criteria.

    Summary of missing information:

    1. Table of acceptance criteria and reported device performance: Not provided.
    2. Sample size for test set and data provenance: Not provided.
    3. Number and qualifications of experts for ground truth: Not provided.
    4. Adjudication method for test set: Not provided.
    5. Multi-reader multi-case (MRMC) comparative effectiveness study: Not conducted or reported. The device is a reporting and imaging system, not an AI diagnostic tool.
    6. Standalone (algorithm only) performance study: Not conducted or reported. The device is a reporting and imaging system, not an AI diagnostic tool.
    7. Type of ground truth used: Not applicable as no performance study is detailed.
    8. Sample size for training set: Not applicable as it's not an AI diagnostic model and no training data is mentioned.
    9. How ground truth for training set was established: Not applicable.
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