Virtual Fellow® uses deep learning to speed cardiac MRI
interpretation. It automatically identifies and organizes images
by type and view. It presents images in a standard format and
orientation, optimizing brightness, contrast, and magnification.
To facilitate visual comparison, images acquired with different
techniques are displayed adjacently at the same absolute
magnification. Because Virtual Fellow® operates without any user
input, images are organized and analyzed before the physician
reviews them, saving the physician valuable time.