Deep Breathe is developing AI-powered algorithms to automate the right upper quadrant (RUQ) assessment of the FAST (Focused Assessment with Sonography in Trauma) exam, a critical ultrasound procedure used in trauma care to detect internal bleeding. The project will create machine learning models capable of identifying free fluid in the abdomen, improving accuracy and accessibility for novice ultrasound operators. The automation of this process aims to standardize emergency diagnostics, reduce human error, and expand use in high-stress, resource-limited environments such as mass casualty incidents or military scenarios.
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