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Medical imaging is used to understand what is going on inside the human body and prescribe treatment. With new image processing and machine learning techniques, the traditional medical imaging techniques such as CT scans can be enriched to get a more sophisticated diagnosis.
HeartFlow uses data from a standard CT scan to model a human heart and understand blockages of blood flow using simulations of fluid dynamics. In today’s episode, Razik Yousfi and Leo Grady from HeartFlow describe the data processing pipeline for the company and what their technology stack looks like.