Search Filters

Search Results

Found 2 results

510(k) Data Aggregation

    K Number
    K040228
    Manufacturer
    Date Cleared
    2004-04-29

    (87 days)

    Product Code
    Regulation Number
    870.2100
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    MEDI-STIM A/S

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

    The Medi-Stim VeriQ System is an intraoperative diagnostic system that utilizes ultrasonography to guide surgeons to successfully plan and accomplish surgical interventions. The clinical indications for the device are:

    • Accurate transit time blood volume and Doppler velocity flow measurements during cardiovascular-, vascular-, transplantation- and neuro-surgery.
    • Simultaneous measurements of blood pressure, vascular resistance, interfaced physiological signals and other derived parameters during these procedures.
    • Detection of normal and abnormal blood volume and Doppler velocity flow patterns during these procedures.
    • Provides guidance to prepare surgical plans at the initiation of surgery and to support the successful accomplishment of surgery including detection and location of vessels during surgical procedures.
    • Detection and quantification of the degree of stenosis in arteries by using the Doppler velocity profile.
    Device Description

    The Medi-Stim VeriQ System is used intraoperatively to measure blood volume and velocity waveforms in arteries and veins. Transit time and Doppler ultrasonography is used to obtain these measurements.

    AI/ML Overview

    The provided text does not contain information about specific acceptance criteria, a study proving the device meets those criteria, or details regarding ground truth, sample sizes, or expert involvement as requested.

    The document is a 510(k) summary for the Medi-Stim VeriQ System, submitted to the FDA in 2004. It describes the device, its intended use, and indicates the FDA's determination of substantial equivalence to predicate devices. However, it does not include data from performance studies with acceptance criteria.

    Therefore, I cannot provide the requested table or answer the specific questions about sample sizes, expert qualifications, adjudication methods, MRMC studies, standalone performance, or ground truth establishment based on the provided input.

    Ask a Question

    Ask a specific question about this device

    K Number
    K992305
    Manufacturer
    Date Cleared
    1999-09-08

    (62 days)

    Product Code
    Regulation Number
    892.1570
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    MEDI-STIM A/S

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

    It is intended for accurate transit time blood volume flow measurements during cardiovascular, vascular and transplantation surgery.

    Device Description

    The Medi-Stim Butterfly Flowmeter estimates blood volume flow by measuring the transit time difference between an ultrasonic signal propagated through a blood vessel in the downstream direction and one propagated in the upstream direction. The measuring unit consists of two ultrasonic transducers on one side of the vessel aimed at a common point on a flat reflector on the other side of the vessel.

    AI/ML Overview

    Here's a breakdown of the acceptance criteria and study information for the Medi-Stim Butterfly Flowmeter, based on the provided 510(k) summary:

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance Criteria (Probe Accuracy)Reported Device Performance
    Perivascular probes: ±10%Perivascular: ±10%
    Cardiac output probes: ±15%Cardiac output: ±15%
    Tubing probes: ±5%Tubings: ±5%

    2. Sample Size Used for the Test Set and Data Provenance

    The document does not explicitly state the sample size used for the test set or the data provenance (e.g., country of origin, retrospective or prospective nature of the study). The submission primarily focuses on comparing the new device to a predicate device based on technical specifications and intended use.

    3. Number of Experts Used to Establish Ground Truth for the Test Set and Their Qualifications

    This information is not provided in the document. The submission relies on a comparison to a predicate device and established accuracy criteria for similar devices, rather than a clinical study with expert-established ground truth.

    4. Adjudication Method for the Test Set

    This information is not provided in the document, as no explicit clinical test set with adjudicated ground truth is described.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    A multi-reader multi-case (MRMC) comparative effectiveness study was not conducted or reported in this 510(k) summary. The submission focuses on substantial equivalence to a predicate device based on technical specifications.

    6. Standalone (Algorithm Only) Performance

    A standalone performance study of the algorithm without human-in-the-loop performance was not explicitly described or reported as a separate study. However, the accuracy percentages (e.g., ±10% for perivascular) refer to the device's inherent measurement accuracy, implying a form of standalone technical performance assessment against known flow rates. The document states: "The flowmeter displays the measurement results with a flow curve and it's associated mean flow value." This suggests the algorithm is directly providing measurements.

    7. Type of Ground Truth Used

    The ground truth for the declared accuracy percentages (e.g., ±10%, ±15%, ±5%) is implied to be an objective measurement of "true" blood volume flow during device testing, likely established through controlled experiments or calibrated flow models. The document doesn't specify the exact method (e.g., gold-standard flow measurement devices, in-vitro testing with known flow rates). The comparison to the predicate device's accuracy implies that the acceptance criteria are based on established standards for this type of medical device.

    8. Sample Size for the Training Set

    The document does not mention a training set or any development of an AI algorithm in the context of machine learning. The device described uses a "transit time technology that interfaces with this platform" and "The transit time signal processing is performed by hardware that uses algorithms similar to an ultrasound scanner, and the received ultrasound phase shifts are processed digitally." This suggests traditional signal processing algorithms rather than trainable machine learning models.

    9. How the Ground Truth for the Training Set Was Established

    As no training set is mentioned (see point 8), this information is not applicable/not provided.

    Ask a Question

    Ask a specific question about this device

    Page 1 of 1