Ultrasound Cardiac Doppler study automation

This invention describes a system that automatically identifies the type of ultrasound heart study being performed. It uses neural networks to analyze both a B-mode ultrasound image of the heart and the Doppler signal data captured from a specific point within that image. The system also calculates the precise anatomical location where the Doppler signal was recorded.

Why it matters: Since 2018, deep learning and neural network capabilities have advanced significantly, making the automated analysis of complex medical images and signals more accurate and feasible. This could improve the performance and reliability of the system.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedNeural networks, medical device integration

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