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510(k) Data Aggregation

    K Number
    K232508
    Date Cleared
    2023-09-15

    (28 days)

    Product Code
    Regulation Number
    870.5900
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Barrier EasyWarm Active Self-Warming Blanket is intended to help prevent hypothermia by providing warmth to the patient during the perioperative period.

    Device Description

    The Barrier EasyWarm Active Self-Warming Blanket is a non-sterile, single use blanket that is intended to prevent hypothermia by providing warmth to the patient during the period. The blanket contains warming pads (or heating elements) that are contained within sealed pouches that are advantageously positioned and sewn into the blanket's fabric for appropriate distribution of heat. The warming pads contain iron, active coal, water, salt, clay with a sodium polyacrylate cover. The device is supplied in a vacuum sealed packaging. Once the blanket is removed from its packaging, the blanket produces heat via an exothermic chemical reaction that takes place within the warming pads upon exposure to air. The chemical reaction results from the oxidation of iron.

    AI/ML Overview

    This document does not contain information about an AI/ML device, nor does it provide the specific details required to complete your request about acceptance criteria and study data for an AI/ML device.

    The document is a 510(k) summary for a Barrier EasyWarm Active Self-Warming Blanket, a medical device intended to prevent hypothermia by providing warmth to patients. It discusses modifications to a previously cleared device (K132048).

    Therefore, I cannot provide:

    1. A table of acceptance criteria and reported device performance related to an AI/ML device.
    2. Sample sizes, data provenance, or details about test and training sets for an AI/ML device.
    3. Information on experts or adjudication for ground truth for an AI/ML device.
    4. MRMC studies or effect sizes for AI assistance.
    5. Standalone performance for an AI algorithm.
    6. Types of ground truth for AI.
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