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510(k) Data Aggregation

    K Number
    K041455
    Date Cleared
    2004-06-10

    (9 days)

    Product Code
    Regulation Number
    892.1560
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    SSI-600/SSI-800 DIAGNOSTIC ULTRASOUND IMAGING SYSTEM

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

    Ultrasonic pulsed echo imaging and measurement for fetal imaging and other abdominal as well as pediatric, small organ, cardiac.

    Device Description

    Model SSI-600/SSI-800 are linear and convex electronic scanning ultrasonotomograph with a built-in digital scan converter (DSC) and main CPU module. The unit allows heart, abdominal organic and fetal tomographic images to be observable on a video monitor. The main unit of SSI-600 is portable and separable from other equipment to be carried for its use at another place as well as being usable in combination with a 10-inch video monitor and a special photographic unit. The main unit of SSI-800 is able to combine with a 12-inch video monitor and a special photographic unit.

    AI/ML Overview

    This is a 510(k) premarket notification for an ultrasound system, not a study evaluating a device's performance against specific acceptance criteria.

    The document describes the SonoScape SSI-600/SSI-800 Diagnostic Ultrasound Systems with C343 Convex Array and L751 Linear Array transducers. The primary purpose of this 510(k) submission is to demonstrate substantial equivalence to a previously legally marketed predicate device (Medison SonoAce 600 K000030), not to provide a detailed study with acceptance criteria and performance data in the way you've outlined.

    Therefore, the specific information requested in your prompt (acceptance criteria table, sample sizes, ground truth experts, adjudication methods, MRMC studies, standalone performance, training set details) cannot be extracted from this document because such information is not typically included in a 510(k) summary for a diagnostic ultrasound system intended to demonstrate substantial equivalence based on technological characteristics and intended use.

    Here's a breakdown of what can be inferred or stated based on the document, and what cannot:

    • 1. A table of acceptance criteria and the reported device performance:

      • Cannot be provided. This document doesn't define acceptance criteria for a performance study. It lists technological characteristics of the device (e.g., scanning methods, display modes, grey scale, frequency range) and its intended uses. The "performance" being reported is that these characteristics are comparable to the predicate device, leading to a determination of substantial equivalence.
    • 2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective):

      • Cannot be provided. The document does not describe a clinical performance study with a test set.
    • 3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience):

      • Cannot be provided. The document does not describe a clinical performance study with expert-established ground truth.
    • 4. Adjudication method (e.g. 2+1, 3+1, none) for the test set:

      • Cannot be provided. The document does not describe a clinical performance study 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:

      • Cannot be provided. This is a diagnostic ultrasound system, not an AI-assisted diagnostic device. No MRMC study is mentioned.
    • 6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done:

      • Cannot be provided. This is a diagnostic ultrasound system, not an algorithm. Standalone performance as described is not relevant to this submission.
    • 7. The type of ground truth used (expert consensus, pathology, outcomes data, etc):

      • Cannot be provided. As no performance study is detailed, no ground truth is discussed.
    • 8. The sample size for the training set:

      • Cannot be provided. This document does not describe a machine learning algorithm that would have a training set.
    • 9. How the ground truth for the training set was established:

      • Cannot be provided. As explained in point 8.

    In summary, this document is a regulatory submission demonstrating substantial equivalence of a general diagnostic ultrasound system, not a clinical study report with performance metrics against acceptance criteria. The "study" here is the comparison against the predicate device based on technical specifications and intended use.

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