Anatomy-derived 3D Aortic Hemodynamics Using Fluid Physics–informed Deep Learning

A fluid physics–informed cycle generative adversarial network was successfully used to derive accurate three-dimensional aorta hemodynamics in less than 1 second using only aorta anatomic features as input data.