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510(k) Data Aggregation

    K Number
    K201340
    Date Cleared
    2020-06-19

    (30 days)

    Product Code
    Regulation Number
    892.1720
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K162555, K150929, K172581, K163019, K153058, K153492

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

    Intended for use by a qualified/trained doctor or technician on both adult and pediatric subjects for taking diagnostic radiographic exposures of the skull, spinal column, extremities, and other body parts. Applications can be performed with the patient sitting, standing, or lying in the prone or supine position. Not for mammography.

    Device Description

    Aquila 320-D Series: Small, light, easy handling. High Performance, High Power 320 mA, Leading Technology. Capacitive discharge technology, wireless image capture and transmission technology, smartphone image access. Wireless Detector and Workstation on touchscreen notebook or tablet. High frequency generator with micro-processor controls: Power 35.2 KW (The Aquila 320-S comes without the digital panels and workstation)

    AI/ML Overview

    The provided text is a 510(k) summary for the AQUILA 320 D / AQUILA 320 S mobile x-ray system. It details the device, its intended use, and its substantial equivalence to a legally marketed predicate device. However, it does not describe an AI-powered device or a study where an AI device meets acceptance criteria.

    The document explicitly states regarding clinical testing:
    "Clinical testing was not required to establish substantial equivalence because all digital x-ray receptor panels have had previous FDA clearance."

    Therefore, I cannot provide the requested information about acceptance criteria and a study proving an AI device meets them based on the provided text, as this document pertains to a traditional medical imaging device (mobile x-ray system) and not an AI-powered one, and no clinical study was conducted or described.

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    K Number
    K191504
    Device Name
    PowerDR
    Date Cleared
    2019-08-16

    (71 days)

    Product Code
    Regulation Number
    892.1650
    Why did this record match?
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The PowerDR™ Digital X-ray Imaging System is indicated for use as an X-ray imaging modality to acquire, process, display, quality assure and store digital medical X-ray images.

    The PowerDR™ Digital X-ray Imaging System is indicated for use in general radiographic and fluoroscopic examinations of any anatomy for adult, pediatric, and neonatal patients. It is not indicated for use in mammography.

    Device Description

    The PowerDR™ Console Application is a digital medical X-ray imaging system consisting of an X-Ray detector, computer hardware and the PowerDR™ software. The User supplies the X-Ray generator. The PowerDR™ Console Application is intended to enable a procedure of medical image acquisition, processing, display, quality assurance, and storage. The software interfaces to an X-Ray detector from variety of vendors to acquire raw pixel data. Its image-processing algorithms transform raw pixel data into diagnostic quality images and image sequences to aid the medical professional in diagnosis. For temporary storage, image data can be stored on the local computer. For long term storage, image data can be stored on a portable media device or a remote PACS (Picture Archive and Communication System) server. The PowerDR™ Digital X-ray Imaging System is intended for use in general radiographic and fluoroscopic examinations of any anatomy for adult, pediatric, and neonatal patients. It is not intended for use in mammography. The system can be sold with or without a computer, and with or without a compatible, previously cleared, digital receptor panel.

    AI/ML Overview

    The provided text is a 510(k) Premarket Notification for the PowerDR™ Digital X-ray Imaging System. This type of submission focuses on demonstrating substantial equivalence to a previously legally marketed device (predicate device), rather than proving the device meets specific performance acceptance criteria through the kind of studies typically seen for novel AI/ML devices.

    Therefore, the document does not contain the information requested regarding acceptance criteria and a study proving the device meets those criteria for AI/ML performance.

    Specifically:

    • No table of acceptance criteria and reported device performance is provided because this is a substantial equivalence submission, not a performance validation against defined metrics for an AI/ML component. The "performance" demonstrated is that the new device operates similarly to the predicate device in terms of image acquisition, processing, display, quality assurance, and storage.
    • No sample size for a test set or data provenance is mentioned in the context of an AI/ML performance study. The "test set" here refers to the validation of the system's ability to acquire and process images, not to a diagnostic performance evaluation of an AI algorithm. The document states "image inspection, bench, and test laboratory results" were used, and "Each available digital receptor panel has undergone a rigorous verification and validation procedure."
    • No number of experts or qualifications of experts used for ground truth establishment for a test set. This is not an AI/ML diagnostic study.
    • No adjudication method is mentioned, as there is no diagnostic ground truth establishment process described for an AI/ML algorithm.
    • No Multi-Reader Multi-Case (MRMC) comparative effectiveness study was done because there is no AI assistance component to evaluate.
    • No standalone (algorithm only) performance study was done; the focus is on the integrated system's functionality.
    • The type of ground truth used (expert consensus, pathology, outcomes data, etc.) is not applicable in the context of an AI/ML performance study. The "ground truth" for this device relates to the technical specifications and image quality relative to the predicate device.
    • No sample size for the training set is applicable; this is not an AI/ML algorithm that undergoes a training phase as typically understood.
    • How the ground truth for the training set was established is not applicable for the same reason.

    The core argument for the PowerDR™ system is that it is substantially equivalent to the predicate device (Nexus DRF Digital X-ray Imaging System, K130318) in terms of its intended use, technology, and safety and effectiveness. The evidence provided to support this is:

    • Bench testing: "The results of image inspection, bench, and test laboratory results indicates that the new device is as safe and effective as the predicate devices."
    • Use of previously cleared components: All compatible digital panels supported by PowerDR™ "have previously received FDA 510(k) clearances" and "undergone a rigorous verification and validation procedure."
    • Compliance with FDA guidance documents: Specifically, guidance for software in medical devices, cybersecurity, and pediatric imaging information.
    • Comparison chart: A detailed "Substantial Equivalence Chart" (Section 5) outlining similarities in identification, intended use, description, where used, image processing, image storage, image data source, configuration, primary digital panel support (multiple for proposed vs. one for predicate, with all proposed panels being previously cleared), system software, image data format, image presentation, application software, tracking X-ray dose, fluoro image processing, MultiRad image support, dose and processing auto optimization, quality assurance, DICOM 3.0 conformance, IHE Integration profile, power source, and computer platform.

    Conclusion stated in the document: "After analyzing bench testing and risk analysis and compliance to the DICOM standard, it is the conclusion of Radiology Information Systems, Inc. that the PowerDR™ Digital X-ray Imaging System is as safe and effective as the predicate device, have few technological differences, and has the same indications for use, thus rendering it substantially equivalent to the predicate device."

    In summary, this 510(k) submission does not describe an AI/ML device or a study validating AI/ML performance using acceptance criteria. Instead, it demonstrates substantial equivalence to a predicate device through bench testing and comparison of technical specifications.

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