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510(k) Data Aggregation

    K Number
    K180100
    Manufacturer
    Date Cleared
    2018-06-14

    (149 days)

    Product Code
    Regulation Number
    892.1000
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K133670

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

    The MRlaudio PREM system is intended to provide audio entertainment and facilitate patient communication in MRI environments, up to, and including, 3.0 Tesla. The product is not intended for medical diagnosis or treatment. Technologist control units are intended to be used outside of the MRI scan room.

    Device Description

    The MRIaudio PREM system is an MRI conditional audio solution that provides MRI patients with music, direct communication, and hearing protection.

    AI/ML Overview

    The provided text describes the 510(k) premarket notification for the MRIaudio PREM System, a device intended to provide audio entertainment and facilitate patient communication in MRI environments. It is important to note that this device is not an AI-powered diagnostic tool, but rather an accessory for MRI machines. Therefore, the typical acceptance criteria and study designs used for AI/ML-based medical devices (such as those involving sensitivity, specificity, MRMC studies, expert adjudication, and large training/test sets for image analysis) are not applicable here.

    The performance data presented focuses on the device's physical and electrical characteristics and its compatibility with MRI environments, rather than its diagnostic accuracy or AI performance.

    Here's a breakdown based on the information provided, framed to address the original request topics where relevant, but highlighting the fundamental difference in the device type:

    1. Table of Acceptance Criteria and Reported Device Performance

    Since this is an accessory device, the "acceptance criteria" relate to safety, functionality within an MRI environment, and compliance with general medical device standards. There are no performance metrics related to diagnostic accuracy, sensitivity, or specificity as it is not a diagnostic device.

    Acceptance Criteria (Proxy for "Performance Goal")Reported Device Performance (Result)
    Noise Reduction (to ANSI S3.19-1974)29 dBA NRR (Noise Reduction Rating)
    Magnetic field attraction/MR Conditional rating (3-Tesla field strength)No field interaction up to two (2) feet from bore and one (1) foot from the side of magnet
    Electrical Safety (IEC 60601-1)Compliant ("results of performance testing demonstrate... substantially equivalent")
    Electromagnetic Compatibility (IEC 60601-1-2)Compliant ("results of performance testing demonstrate... substantially equivalent")
    Biocompatibility (ISO 10993-1)Compliant ("results of performance testing demonstrate... substantially equivalent")
    No adverse effect on MR image productionNo adverse events reported; does not adversely affect MR image production in the worst-case environment.

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

    The "test set" here refers to the physical units of the MRIaudio PREM System that underwent bench and clinical testing. The document does not specify a numerical "sample size" in the context of patients or data points for diagnostic purposes, because the device is an accessory, not a diagnostic tool.

    • Sample Size: Not applicable in the context of an AI device's test dataset (e.g., number of images, patients). Refers to the physical units tested to ensure MR compatibility, safety, and performance. The document implies that the testing was performed on the device itself.
    • Data Provenance: Not applicable in the context of patient data provenance for an AI model. The "clinical data" section refers to the evaluation of the device's impact on MR image production, not data used to train or test a diagnostic algorithm. The document states "clinical data submitted exhibits a mix of pulse sequences and imaging options in the axial, sagittal and coronal planes as recommended in the FDA guidance...". This refers to the environment in which the device was evaluated, rather than a patient dataset collected retrospectively or prospectively from specific countries.

    3. Number of Experts Used to Establish Ground Truth and Qualifications

    Not applicable. This device does not generate diagnostic interpretations requiring expert ground truth establishment. The "clinical data" involved assessing the device's impact on image quality, which would typically be done by qualified MR technologists or radiologists, but this is not about establishing a "ground truth" for a diagnosis.

    4. Adjudication Method for the Test Set

    Not applicable. There is no diagnostic "ground truth" to adjudicate.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done, and Effect Size

    No. This type of study is for evaluating the impact of an AI diagnostic aid on human reader performance. The MRIaudio PREM System is an accessory for patient comfort and communication, not a diagnostic aid.

    6. If a Standalone (Algorithm Only Without Human-in-the-Loop Performance) Was Done

    No. This device does not contain an AI algorithm for standalone diagnostic performance.

    7. The Type of Ground Truth Used

    Not applicable. There is no diagnostic "ground truth" for this device. The "ground truth" for its acceptance is based on engineering specifications, safety standards compliance, and non-interference with MRI image quality.

    8. The Sample Size for the Training Set

    Not applicable. This device is not an AI/ML system that undergoes a training phase with a dataset.

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

    Not applicable. There is no AI training set or associated ground truth.


    Summary regarding the device:

    The MRIaudio PREM System is an MRI-conditional audio solution intended for patient entertainment and communication during MRI scans. Its acceptance criteria and testing focused on:

    • Its ability to provide noise reduction.
    • Its compatibility and safety within strong magnetic fields (MR Conditional rating).
    • Compliance with electrical safety and electromagnetic compatibility standards.
    • Biocompatibility of materials.
    • Demonstrating that it does not adversely affect the quality of MR images.

    The study that "proves the device meets the acceptance criteria" consists of bench testing (e.g., noise reduction, magnetic field interaction) and clinical evaluation demonstrating no adverse effects on MR image production. No AI/ML performance metrics are involved as it is not an AI-powered diagnostic device.

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