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510(k) Data Aggregation

    K Number
    K241582
    Date Cleared
    2024-09-12

    (101 days)

    Product Code
    Regulation Number
    892.1550
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Aplio i900/i800/i700 Diagnostic Ultrasound System, Software V7.0 (TUS-AI900, TUS-AI800, TUS-AI700)

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

    The Diagnostic Ultrasound System Aplio i900 Model TUS-A1900, Aplio i800 Model TUS-A1800 and Aplio i700 Model TUS-AI700 are indicated for the visualization of structures, and dynamic processes with the human body using ultrasound and to provide image information for diagnosis in the following clinical applications: fetal, abdominal, intra-operative (abdominal), pediatric, small organs (thyroid, breast and testicle), trans-rectal, neonatal cephalic, adult cephalic, cardiac (both adult and pediatic), peripheral vascular, transesophageal, musculo-skeletal (both conventional and superficial), laparoscopic and Thoracic/Pleural. This system provides high-quality ultrasound images in the following modes B mode, M mode, Continuous Wave, Color Doppler, Pulsed Wave Doppler and Combination Dopler, as well as Speckle-tracking, Tissue Harmonic Imaging, Combined Modes, Shear wave, Elastography, and Acoustic attenuation mapping. This system is suitable for use in hospital and clinical settings by physicians or legally qualified persons who have received the appropriate training.

    Device Description

    The Aplio i900 Model TUS-AI900, Aplio i800 Model TUS-AI800 and Aplio i700 Model TUS-AI700, V7.0 are mobile diagnostic ultrasound systems. These systems are Track 3 devices that employ a wide array of probes including flat linear array, convex, and sector array with frequency ranges between approximately 2MHz to 33MHz.

    AI/ML Overview

    The document describes the validation of several AI/ML-based features within the Aplio i900/i800/i700 Diagnostic Ultrasound System, Software V7.0. The study aims to demonstrate that these new features are substantially equivalent to existing functionalities and improve workflow.

    Here's an analysis of the acceptance criteria and the study that proves the device meets them:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document describes several AI/ML-based features. While the format isn't a single table, I can synthesize the information for each feature:

    Feature: Auto Plane Detection

    Acceptance CriteriaReported Device Performance
    > 90% agreement with sonographer-selected cardiac chamber views for A4C/A3C/A2C/SAXAchieved 97% average pass rate across the four views

    Feature: Quick Strain

    Acceptance CriteriaReported Device Performance
    Reduced operation time with significance level of 5%Achieved an average 68% reduction in operation time.
    All ICC(2,1) values > 0.75 (indicating minimal inter-operator variability for EDV, ESV, EF, GLS)Demonstrated minimal inter-operator variability by adoption of two-way random effects, absolute agreement, single rater/measurement for ICC. The exact ICC values are not given, but it is stated they passed the criteria.
    Calculated NRMSE for EDV, ESV, EF, and GLS 0.75 (indicating minimal inter-operator variability)Demonstrated minimal inter-operator variability by two-way random effects, absolute agreement, single rater/measurement for ICC. The exact ICC values are not given, but it is stated they passed the criteria.
    Calculated NRMSE results by three clinical sonographers 0.75 (indicating minimal inter-operator variability)Demonstrated minimal inter-operator variability by two-way random effects, absolute agreement, single rater/measurement for ICC. The exact ICC values are not given, but it is stated they passed the criteria.
    Calculated Doppler trace measurement results by three clinical sonographers
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