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510(k) Data Aggregation

    K Number
    K250585
    Date Cleared
    2025-06-27

    (120 days)

    Product Code
    Regulation Number
    876.1500
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K241181

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

    The LumenaTM Ureteral Access Sheath is indicated to establish a conduit during endoscopic urological procedures, facilitating the passage of endoscopes and other instruments into the urinary tract.

    Device Description

    The LumenaTM Ureteral Access Sheaths are designed to establish a conduit for the treatment of urinary stones or other urinary diseases during the endoscopic procedures. The sheaths are available with both a bendable tip with a Y-shape joint on the proximal end and a straight tip with the outside diameters ranging from 11 to 15 French and lengths ranging from 35 to 45 centimeters. These devices are available in a single lumen configuration and include a sheath tube and a dilator. The bendable-tip sheath is intended to be connected to a negative pressure aspirator for the collection of stones or foreign bodies during the endoscopic procedure.

    AI/ML Overview

    The provided FDA 510(k) clearance letter and summary for the LumenaTM Ureteral Access Sheath do not contain information about an AI/ML-driven device or study parameters related to AI/ML performance.

    Instead, the document describes a traditional medical device (a ureteral access sheath) and the non-clinical bench testing, sterilization, packaging, shelf-life, and biocompatibility evaluations performed to demonstrate its safety and substantial equivalence to a predicate device.

    Therefore, I cannot provide information on:

    • A table of acceptance criteria and reported device performance specific to AI/ML. The document lists various non-clinical tests but doesn't detail specific acceptance criteria values or quantitative performance metrics in a table for these tests.
    • Sample size used for the test set and the data provenance for an AI/ML study.
    • Number of experts used to establish the ground truth and their qualifications for an AI/ML study.
    • Adjudication method for an AI/ML study.
    • Multi-reader multi-case (MRMC) comparative effectiveness study and effect size of human improvement with AI assistance.
    • Standalone (algorithm only) performance.
    • Type of ground truth used for an AI/ML study.
    • Sample size for the training set for an AI/ML study.
    • How the ground truth for the training set was established for an AI/ML study.

    The document explicitly states: "No clinical study is included in this submission." This further confirms that no studies involving human readers, ground truth establishment, or AI/ML performance evaluations were conducted as part of this submission.

    The "acceptance criteria" mentioned in the document refer to the successful completion of the non-clinical performance tests. For example, "All the testing results meet the defined acceptance criteria." However, the specific numerical acceptance criteria and the detailed results for each non-clinical test (Tensile Performance, Hydrophilic Coating Performance, etc.) are not provided in this summary document. They would typically be found in the full 510(k) submission.

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