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9. AI-Assisted Tools
This chapter provides information and instructions for using AI (Artificial Intelligence)-Assisted tools with Butterfly
iQ™.
NOTE
Depending on your platform, hardware, country and membership type, certain presets, modes and
features may not be available.
Automatically Estimating Ejection Fractions
The Simpson's EF tool is available for Apical 4 Chamber (A4C) cardiac views. The Butterfly iQ™ uses the Simpson’s
Monoplane
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method to calculate the EF.
For additional details on capturing, editing and saving an ejection fraction please visit
.
Automatically Estimating Bladder Volume
The Auto Bladder Volume tool allows you to calculate bladder volume when capturing scans and visualize the blad-
der in 3D.
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• The Butterfly iQ™ has the capability to acquire a 3D sweep while you hold the probe steady. A volume estimate is
then calculated from this 3D sweep.
• The Bladder preset includes the Auto Bladder Volume tool when you are in B-Mode.
For details on how to perform automatic bladder volume measurements please visit
.
Butterfly iQ Educational View Guidance
The Educational View Guidance tools provide users with a visual indication of the quality of the image while scan-
ning with the Butterfly iQ. The Educational View Guidance tools support the following views: Cardiac Apical 4 Cham-
ber, Parasternal Long Axis and Parasternal Short Axis and Lung A-Lines/B-Lines view. As you scan the subject, the
tool provides real-time feedback. It indicates the proportion of experts who would assess the anatomical view as
measurable.
CAUTION!
The Educational View Guidance tools are for Educational Use Only.
For additional information on Educational View Guidance please visit
.
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Lang et al., J. Am. Soc.Echocardiography, 2005: 1440-63. Estimates of the base points of the mitral valve `points` are used to define the mid-
point of the mitral valve and the apex point (furthest point on segmentation mask from midpoint). These two points define an axis about which we
perform disk integration. As per convention, 20 disks should be used.
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Ronneberger, Olaf, Philipp Fischer, and Thomas Brox. “U-net: Convolutional networks for biomedical image segmentation.” International Confer-
ence on Medical image computing and computer-assisted intervention. Springer, Cham, 2015.
AI-Assisted Tools
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AI-Assisted Tools
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