Predicting Embryo Implantation Probability

Abstract

The present invention extends to methods, systems, and computer program products for predicting embryo implantation probability. A neural network accesses a set of images depicting an embryo. The neural network determines a correlation between the set of images and images corresponding to other embryos considered during neural network training. The neural network derives an embryo implantation probability associated with the embryo based on known implantation outcomes associated with the other embryos and in view of clinical data associated with a potential recipient of the embryo. An embryo is selected for the potential recipient based at least in part on the derived embryo implantation probability. The neural network can also derive a confidence and/or explanation of why the neural network assigned an embryo implantation probability to an embryo. The confidence can be considered in embryo selection.

Dependencies are inferred from the claim text.