Search Filters

Search Results

Found 1 results

510(k) Data Aggregation

    K Number
    K951722
    Manufacturer
    Date Cleared
    1996-03-25

    (346 days)

    Product Code
    Regulation Number
    870.2850
    Reference & Predicate Devices
    N/A
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The PERCEPTOR® Compensator MORSE® Manifold, like its predicates, the MORSE® DT Manifold and the Stand Alone Transducer, is a physiological blood pressure transducer. Both devices are intended for invasive pressure monitoring, catheterization procedures, fluid delivery and/or blood access maintenance.

    Device Description

    A device which integrates a physiological pressure transducer directly into the side port lumen of a manifold. A catheter provides a fluid column which communicates pressure in the heart from the tip of the catheter to the transducer. The gel acts as a vibratory membrane, allowing the signal to be passed to the sensor. The signal is communicated to the monitor via the cable.

    AI/ML Overview

    The provided text is a 510(K) summary for a medical device called the PERCEPTOR® Compensator MORSE® Manifold, which is a physiological blood pressure transducer. This document primarily focuses on demonstrating substantial equivalence to predicate devices and adherence to safety standards. It does not contain information about a study involving acceptance criteria, device performance metrics, sample sizes for test or training sets, ground truth establishment, expert involvement, or any form of AI/algorithm performance.

    The document addresses compliance with engineering standards rather than clinical performance metrics in the way you've outlined for AI or diagnostic devices.

    Therefore, I cannot populate the requested table or answer the subsequent questions based on the input provided. The summary is about a physical device's design, materials, and compliance with general transducer standards, not about a study assessing its diagnostic or interpretive accuracy.

    Here's a breakdown of what can be inferred from the text, and why the other information is missing:

    What's available in the text:

    • The device is a physiological blood pressure transducer.
    • It's intended for invasive pressure monitoring, catheterization procedures, fluid delivery, and/or blood access maintenance.
    • It's expected to conform to specifications in ANSI/AAMI BP22-1994 "Blood Pressure Transducers."
    • Biocompatibility testing was performed on predicate devices (implying the new device, using identical materials, doesn't need new biocompatibility testing).
    • The fundamental design principles are outlined (integrates transducer into manifold, catheter communicates pressure, gel acts as vibratory membrane).
    • Differences from predicates are described: redirected lumen for accurate zero balancing and pressure monitoring at any height, and discontinuation of an Over Pressure Protection Band.

    Why the requested information is absent:

    The 510(k) summary is for a physical medical device (a blood pressure transducer) that measures a physiological parameter. The "performance" in this context refers to its ability to accurately measure blood pressure according to established engineering standards (like ANSI/AAMI BP22-1994), not its ability to interpret images, diagnose conditions, or provide AI-assisted insights.

    Therefore, there are no:

    • "Acceptance criteria" in the sense of accuracy, sensitivity, or specificity for a diagnostic task. The acceptance criteria would be conformance to the ANSI/AAMI standard.
    • "Reported device performance" in terms of diagnostic metrics. Performance is implied by adherence to the ANSI/AAMI standard.
    • "Sample sizes for test set" related to diagnostic accuracy.
    • "Experts" establishing ground truth for a diagnostic task.
    • "Adjudication method."
    • "MRMC comparative effectiveness study" involving human readers and AI.
    • "Standalone algorithm performance."
    • "Type of ground truth" (pathology, expert consensus, etc.).
    • "Training set" or "how ground truth was established for training" because this isn't an AI/algorithm-driven device.
    Ask a Question

    Ask a specific question about this device

    Page 1 of 1