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510(k) Data Aggregation

    K Number
    K182363
    Device Name
    BTL-703
    Date Cleared
    2019-01-24

    (147 days)

    Product Code
    Regulation Number
    890.5290
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    BTL-703 is indicated to be used for applying therapeutic deep heat in body tissues for the treatment of selected medical conditions such as: 1. Relieving pain; 2. Reducing muscle spasm; 3. Increasing range of motion of contracted joints using heat and stretch techniques; and 4. Increasing blood flow to tissues in the treatment area.

    Device Description

    The BTL-703 is comprised of a device unit and applicator that deliver radiofrequency energy to the targeted tissue. The device is designed to enable hands-free treatment. Easyto-use color touch screen allows for maximum operator comfort. The main unit is placed in a specially designed cart, the shape of which provides maximum operator comfort and easy movement of the device in the office. The BTL-703 consists of the following main components: microprocessor-driven control unit, high-frequency energy generator, user interface with 15,6" HD touch screen, four-point applicator.

    AI/ML Overview

    The acceptance criteria and study information for the BTL-703 device, based on the provided FDA 510(k) summary, are described below.

    Please note: This document focuses on the regulatory submission information. For medical devices like the BTL-703 (Shortwave Diathermy), the "performance" in the context of a 510(k) submission primarily refers to meeting safety and fundamental operational requirements and demonstrating substantial equivalence to a predicate device. It typically does not involve the same kind of clinical trial efficacy metrics (sensitivity, specificity, etc.) as AI/software devices. The "acceptance criteria" here are therefore related to safety standards and the ability to achieve a therapeutic temperature range.


    1. Table of Acceptance Criteria and Reported Device Performance

    Criteria CategoryAcceptance CriteriaReported Device Performance
    Safety and Essential Performance StandardsCompliance with recognized medical device safety standards. Specifically:- IEC 60601-1: Medical electrical equipment – Part 1: General requirements for basic safety and essential performance (Complied) - IEC 60601-1-2: Collateral standard: Electromagnetic Disturbance – Requirements and tests (Complied) - IEC 62304: Medical device software – Software life cycle processes (Complied) - ISO 14971: Medical devices - Application of risk management to medical devices (Complied) - ISO 10993-1: Biological evaluation of medical devices – Part 1: Evaluation and testing within a risk management process (Complied) - ISO 10993-5: Biological evaluation of medical devices – Part 5: Tests for in vitro cytotoxicity (Complied) - ISO 10993-10: Biological evaluation of medical devices – Part 10: Tests for irritation and skin sensitization (Complied)
    Ablity to achieve therapeutic temperatureThe device should be able to maintain a therapeutic temperature range in vivo (in relevant body tissues). Specific target: approximately 40-45°C.The study confirmed the ability of the BTL-703 device to maintain the temperature in the range of approx. 40-45°C in vivo.
    Substantial EquivalenceDemonstration that the technological characteristics and indications for use are substantially equivalent to a legally marketed predicate device (K120093, BTL Elite), raising no new safety or effectiveness questions.Comparison table provided showing similar indications for use, principle of action, clinical use, electrical protection, user interface, firmware control, type of energy, working frequency (27.12 MHz), therapy time (1-30 min), hands-free application, stop remote control, and applicator contact monitor. Differences (e.g., no pulsed mode, negative pressure applicator fixation, thermal stabilization system) were determined not to raise new safety or effectiveness questions.

    2. Sample size used for the test set and the data provenance

    • Test Set (Animal Study): The document only mentions a "study in porcine model" for demonstrating temperature maintenance. It does not provide the specific sample size (number of animals or test points) used in this model.
    • Data Provenance: The animal study was conducted in a porcine model. The country of origin for the data is not specified. This was a prospective study designed to specifically evaluate the device's ability to maintain temperature in vivo.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    Not applicable. The "ground truth" for the animal study was objective temperature measurement, not a subjective assessment by human experts.

    4. Adjudication method (e.g., 2+1, 3+1, none) for the test set

    Not applicable. The animal study involved direct physical measurements (temperature), not subjective interpretations requiring adjudication.

    5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    Not applicable. The BTL-703 is a physical therapy device that applies heat, not an AI/imaging diagnostic device. Therefore, MRMC studies and AI assistance improvements are not relevant in this context.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    Not applicable. The BTL-703 is a physical medical device, not a software algorithm or AI.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

    • For the animal study: The ground truth was based on objective temperature measurements within the porcine model.
    • For demonstrating substantial equivalence: The ground truth was based on adherence to established medical device safety standards (e.g., IEC, ISO) and comparison of technical specifications and indications for use with the predicate device.

    8. The sample size for the training set

    Not applicable. This device is not an AI/machine learning product and therefore does not have a "training set" in that sense. The non-clinical testing involved rigorous testing against established standards.

    9. How the ground truth for the training set was established

    Not applicable (as it's not an AI/ML device with a training set). The "ground truth" for the non-clinical testing was established by internationally recognized and harmonized medical device safety and performance standards.

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