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510(k) Data Aggregation

    Why did this record match?
    Applicant Name (Manufacturer) :

    GE Healthcare Information Technologies, Inc.

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

    The Mac-Lab system is indicated for use on patients of all ages when a physician determines that a patient would benefit from a hemodynamic procedure. Mac-Lab may be used in a variety of hospital and clinical settings to record hemodynamic data and measurements, which may then be displayed, filtered, digitized, amplified, measured, and calculated and/or transmitted for storage, analysis and viewing at distributed locations.

    The CardioLab system is indicated for use on patients of all ages when a physician determines that a patient would benefft from an electrophysiology procedure. CardioLab may be used in a variety of hospital and clinical settings to record electrophysiology data and measurements, which may then be displayed filtered, amplified, measured, and calculated and/or transmitted for storage, analysis and viewing at distributed locations.

    The ComboLab system is indicated for use on patients of all ages when a physician determines that a patient would benefit from either a hemodynamic or electrophysiology procedure. ComboLab may be used in a variety of hospital and clinical settings to record hemodynamic and electrophysiology data and measurements, which may then be displayed, filtered, digitized, amplified, measured, calculated and/or transmitted for storage, analysis and viewing at distributed locations.

    The MLCL Client Software is indicated for use on patients of all ages when a physician determines that a patient would benefit from either a hemodynamic or electrophysiology procedure. MLCL Client Software may be used in a variety of hospital and clinical settings to record, document and/or review hemodynamic and electrophysiology data and measurements, which may then be displayed, filtered, digitized, amplified, measured, calculated and/or transmitted for storage, analysis and viewing at distributed locations.

    Device Description

    Mac-Lab and CardioLab are hemodynamic and electrophysiology (EP) recording systems, respectively. A third configuration, ComboLab, allows the user to access both CardioLab and Mac-Lab functions, though only one application may be accessed at a time.

    These devices are used during interventional and related procedures to process, display and record hemodynamic and electrophysiology (EP) data depending on the type of procedure performed. The data is acquired and displayed real-time for multiple physiological parameters to allow the user to view the data. The data may be entered manually through the use of a dedicated keyboard/mouse/barcode scanner or acquired via procedural information devices, imaging devices and interfaced data devices, and may then be displayed, filtered, digitized, amplified, measured, and calculated.

    A fourth configuration, called the MLCL Client Software, is the core Mac-Lab and CardioLab application software which is available for installation on a stand-alone workstation (i.e. outside of the Mac-Lab/CardioLab/ComboLab acquisition systems described above). The MLCL Review Software may be used to record, document, analyze, store and transmit data, including data from supported patient monitors.

    Mac-Lab, CardioLab, ComboLab and the MLCL Client Software provide the ability to transmit patient data for storage, analysis and viewing at distributed locations within a clinical facility via network connectivity but may also be used stand-alone (not connected to a network).

    Mac-Lab, CardioLab, ComboLab and the MLCL Client Software are not intended to be used as a patient monitor and are not intended to alert the licensed health care practitioner of a change in patient status.

    AI/ML Overview

    The provided text describes the acceptance criteria and the study that proves the device meets the acceptance criteria for the Mac-Lab Recording Systems, CardioLab Recording Systems, ComboLab Recording Systems, and MLCL Client Software.

    Here's a breakdown of the requested information:

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

    The document does not explicitly state quantitative acceptance criteria in a table format for performance metrics. Instead, it focuses on demonstrating substantial equivalence to a predicate device through non-clinical testing and comparison of technological characteristics. The overall reported device performance is that the device is "as safe, as effective, and performs as well as the legally marketed predicate device."

    Summary of Reported Device Performance and Equivalence Claims:

    AspectReported Device Performance
    Safety & EfficacyThe proposed device is considered "as safe, as effective and performs as well as the legally marketed predicate device." Nonclinical tests and results "did not raise new or different questions of safety and effectiveness than those associated with the predicate device."
    Technological EquivalenceThe device "employs the same fundamental scientific technology, basic design, construction, materials, energy source control mechanism, and operating principles as the predicate devices...in recording and displaying hemodynamic and electrophysiology data." The technological characteristics "do not create new questions of safety or effectiveness, and did not introduce any new risks/hazards, warnings or limitations." The changes "do not create a new Intended Use and represent similar technological characteristics, with no impact on the control mechanisms, operating principle, and energy type."
    Software Level of ConcernSoftware documentation for a "Moderate" level of concern was considered and compared to the predicate device.
    Compliance with StandardsThe device "conforms to voluntary standards" including IEC 60601-1 Ed. 3.1, IEC 62366:2015, IEC 62304:2006/A1:2015, IEC 82304-1:2016-10, ISO 15223-1:2016, IEC 60601-2-27:2011, and IEC 60601-2-34:2011.

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    The document explicitly states: "The subject of this premarket submission, Mac-Lab, CardioLab and ComboLab AltiX, did not require clinical studies to support comparability to the predicate device." Therefore, there is no sample size for an external "test set" and no direct data provenance related to a clinical study. The evaluation primarily relied on non-clinical testing and comparison to the predicate device.

    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)

    Since no clinical studies were performed to establish a "test set" with ground truth from experts, this information is not applicable and not provided in the document.

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

    As no clinical test set requiring expert ground truth or adjudication was conducted, this information is not applicable.

    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

    No MRMC comparative effectiveness study was done. The device is a recording system for hemodynamic and electrophysiology data and measurements, not an AI-assisted diagnostic tool for human readers.

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

    The document describes "Performance testing (Verification)" and "System performance testing (Verification)" as part of the non-clinical tests. These would likely involve evaluating the algorithm's performance in isolation or as part of the system. However, specific standalone performance metrics or a detailed description of "algorithm-only" performance is not provided beyond the general statement of performing "as well as" the predicate. The device's primary function is data acquisition, display, and processing, not automated diagnosis that would typically warrant a standalone algorithmic performance study distinct from the system's overall function.

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

    For the non-clinical testing, the "ground truth" for verification and validation would be established by reference to engineering specifications, established standards (e.g., IEC 60601 series), and the performance of the legally marketed predicate device. This is primarily technical or functional ground truth, rather than clinical ground truth (like pathology or outcomes data).

    8. The sample size for the training set

    The document does not mention any "training set" as part of an AI/machine learning model. The device is described as a recording system, and the changes primarily involve hardware updates (new EP amplifier) and inclusion of existing technology (DFR technology). There is no indication of machine learning components that would require a distinct training set.

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

    As there is no mention of a training set for an AI/machine learning component, this information is not applicable.

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