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510(k) Data Aggregation

    K Number
    K222279
    Manufacturer
    Date Cleared
    2022-08-29

    (31 days)

    Product Code
    Regulation Number
    876.5130
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    These catheters are indicated for the routine drainage of urine from the bladder. These catheters are not intended or designed for indwelling use.

    Device Description

    The Intermittent Urethral Catheters consist of a tubular shaft with attached funnel as the connecting device. PVC material used in the catheter. The product sizes range from 10 Ch. to 24 Ch. The device shaft is uncoated.

    AI/ML Overview

    This document, a 510(k) summary from the FDA for the Rusch Intermittent Urethral Catheter, does not contain the information requested about acceptance criteria and a study proving a device meets them for an AI/ML medical device.

    The document is a submission for a traditional medical device (a catheter), not an AI/ML diagnostic or prognostic tool. Therefore, it discusses:

    • Substantial Equivalence: The primary focus is on demonstrating that the new device is substantially equivalent to a previously cleared predicate device (K173596).
    • Device Description: Details on the physical characteristics and materials of the catheter.
    • Indications for Use: What the catheter is intended for (routine drainage of urine).
    • Changes: The only change mentioned is to the labeling (adding contraindications to the Instructions for Use).

    None of the requested information regarding AI/ML device performance studies, such as:

    1. Table of acceptance criteria and reported device performance: This would be relevant for an AI's accuracy, sensitivity, specificity, etc., which is not applicable here.
    2. Sample size, data provenance, experts for ground truth, adjudication method: These are specific to evaluating AI model performance on a test dataset.
    3. MRMC study, standalone performance, type of ground truth, training set details: These are all methodologies used to validate AI models.

    In summary, this document is about a low-risk, non-AI medical device and therefore does not include the details of an AI/ML performance study.

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