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510(k) Data Aggregation

    K Number
    K160881

    Validate with FDA (Live)

    Device Name
    Tablo Console
    Date Cleared
    2016-11-15

    (230 days)

    Product Code
    Regulation Number
    876.5860
    Age Range
    All
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticPediatricDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Tablo™ System is indicated for use in patients with acute and/or chronic renal failure, with or without ultrafiltration, in an acute or chronic care facility. Treatments must be administered under physician's prescription, with a trained individual available as needed who is considered competent in the use of the prescribing physician.

    Device Description

    The Tablo™ Console is a self-contained hemodialysis system (Console) intended for acute and chronic dialysis therapy with or without ultrafiltration, in an acute or chronic care facility. The console consists of fluidic systems that perform the activities of a Water Purification System (WPS) and a conventional Dialysis Delivery System (DDS). Since the original 510(k) clearance, the Tablo Console has incorporated design and corresponding labeling updates whose purpose was to improve ease of manufacturing, increase reliability, simplify the design, and optimize performance.

    AI/ML Overview

    This document is a 510(k) summary for the Tablo Console, a hemodialysis system. The primary purpose of this submission is to describe expanded wireless communication capabilities and other design updates.

    Here's an analysis of the acceptance criteria and study information provided:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document does not explicitly present a table of "acceptance criteria" in the typical sense of quantitative thresholds for a specific diagnostic performance metric. Instead, it details various types of performance testing against established standards and internal requirements. The "reported device performance" is a general statement of compliance rather than specific numerical results.

    Acceptance Criteria CategoryReported Device Performance
    Biocompatibility StandardsNo specific criteria or numerical results provided. Statement: "Design updates to the fluidic system have been made to the modified device and biocompatibility has been evaluated. There were no changes to the material type, formulation, chemical composition, material processing or contact duration. No additional testing was required."
    Electrical Safety StandardsStandards: IEC 60601-1, IEC 60601-1-2, IEC 60601-1-6, IEC 60601-1-8, and IEC 60601-2-16. Performance: "The Tablo Console with Wireless Capability has been evaluated against the requirements for Electromagnetic Compatibility and Electrical Safety." (Implied compliance)
    Electromagnetic Compatibility (EMC) StandardsStandards: IEC 60601-1, IEC 60601-1-2, IEC 60601-1-6, IEC 60601-1-8, and IEC 60601-2-16. Performance: "The Tablo Console with Wireless Capability has been evaluated against the requirements for Electromagnetic Compatibility and Electrical Safety." (Implied compliance)
    Software Verification and ValidationCriteria: Functional and performance software requirements. Performance: "For all software modifications, system level software verification testing demonstrated that the Tablo meets functional and performance software requirements."
    System Performance TestingCriteria: Verification of design updates specific to: Fluidic System Optimization, Front Panel Interface, Console External and Internal Design, System Accessories, Dialyzer Prime, Heat Disinfection. Performance: Testing demonstrated compliance with performance specifications. (Implied compliance)
    Overall Conclusion"The performance testing demonstrates that the Tablo Console with expanded wireless capability meets all performance specifications and complies with applicable standards and FDA Guidance Documents."

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

    The document does not specify a "test set" in the context of diagnostic performance involving patient data. The various tests performed (biocompatibility, electrical safety, EMC, software, system performance) would have used devices or components of the device as the test "samples." No information is provided regarding the specific number of devices tested for each type of engineering or software verification test.

    Since no clinical studies were performed, there is no patient data, and therefore no information on country of origin or whether data was retrospective or prospective.

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

    Not applicable. This submission concerns device modifications and engineering verification, not a diagnostic algorithm requiring ground truth established by medical experts from patient data.

    4. Adjudication Method

    Not applicable, as there is no diagnostic algorithm performance evaluation against ground truth from patient data.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    No. The document explicitly states: "No clinical studies were performed in support of the modifications." Therefore, no MRMC study or assessment of human reader improvement with AI assistance was conducted.

    6. Standalone Performance Study

    Yes, in a sense. The entire submission focuses on the standalone performance of the device and its modified components (hardware, software, wireless capabilities) against engineering and safety standards. There is no AI component that would have distinct "standalone algorithm performance" versus "human-in-the-loop performance." The device itself is the "algorithm" in terms of its operational functionality.

    7. Type of Ground Truth Used

    The "ground truth" for the various performance tests was based on:

    • Established international and national standards (e.g., IEC 60601 series).
    • Internal functional and performance requirements for software and system operation.
    • Design specifications for hardware and fluidic systems.

    8. Sample Size for the Training Set

    Not applicable. This device is not an AI/ML algorithm that requires a training set of patient data. The "training" for the device would be its initial design, development, and iterative testing/refinement phases.

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

    Not applicable, as there is no AI/ML training set in the context of this device. The "ground truth" for the device's design and functionality would stem from engineering principles, medical device regulatory requirements, and user needs for hemodialysis.

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