The technology is a deep-learning algorithm that is trained to find correspondence between heart motion and patient outcome, and which can efficiently predict human survival. Motion analysis is a technique used in computer vision to understand the behaviour of moving objects in sequences of images. It is possible to predict future events based on the current state of a moving 3D scene by learning correspondences between patterns of motion and subsequent outcomes. Imperial researchers used machine learning techniques to analyse the motion dynamics of the beating heart and created a network – 4Dsurvival – which predicts survival outcomes in pulmonary hypertension patients with greater accuracy than doctors’ measures.