This video presents HeartAssist™ for Fetus, an AI-powered solution designed to optimize fetal echocardiogram procedures. Using Deep Learning technology, HeartAssist automatically classifies fetal heart ultrasound images, identifying the standard views required for comprehensive fetal cardiac assessment.
What sets HeartAssist apart is its integration of classification, annotation, and measurement functionalities into a single workflow. This allows clinicians to perform detailed fetal heart assessments more efficiently and consistently, reducing reliance on manual inputs.
The video highlights a key efficiency metric: HeartAssist reduces the number of keystrokes needed for annotation and measurement from 156 to just 13. This drastic reduction minimizes repetitive manual tasks, shortens examination time, and enhances focus on patient care.
By automating these steps, HeartAssist streamlines fetal heart ultrasound processes, ensuring accurate measurements and consistent documentation, ultimately supporting high-quality fetal cardiac diagnostics.
For a more in-depth understanding of how HeartAssist™ for Fetus enhances the accuracy and efficiency of fetal cardiac assessments, you can read the full white paper, which outlines its core functionalities, clinical applications, and performance benefits.
