(Weill Cornell Medicine) The team, consisting of embryologists, reproductive medicine clinicians, computer scientists, and precision medicine experts, trained an artificial intelligence algorithm to discriminate between poor and good embryo quality. In a collaboration between the Center for Reproductive Medicine and the Englander Institute for Precision Medicine at Weill Cornell Medicine, the investigators spent more than six months reviewing approximately 50,000 anonymized images, representing 10,148 human embryos, collected by time-lapse photography over seven years.

Original source: https://www.eurekalert.org/pub_releases/2019-04/wcm-aia040319.php