Intended Use

Intended for noninvasive processing of ultrasound images to detect, measure, and calculate relevant medical parameters of structures and function of patients with suspected disease. Provides Quality Score feedback for echocardiography and lung ultrasound scans in adult patients.

Technology

Software as a Medical Device (SaMD) implementing deep convolutional neural networks for segmentation, landmark detection, and classification on digital ultrasound images in DICOM format from specified ultrasound scanners. Provides real-time frame and clip quality scoring. Cardiac AI quantifies left ventricular ejection fraction, myocardium wall thickness, and inferior vena cava diameter. Lung AI detects A-line and B-line artifacts.

Performance

The clinical performance was validated on diverse test data sets from multiple clinical sites with demographic diversity. Key metrics include high interclass correlation (ICC) values (~0.93-0.94) for left ventricle wall thickness and IVC measurements compared to expert ground truth. Quality AI was validated on over 226 clips (29,732 frames) with high agreement to expert ratings (ICC ~0.94), and real-time use in 396 scans from 26 users showed high concordance with expert diagnosis quality scores.

Predicate Devices

No predicate devices specified

Device Timeline

  • 1

    Submission

    4/8/2024

    3 months
  • 2

    FDA Approval

    8/5/2024

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