A generalizable model for ranking blastocyst stage embryos using deep learning

Objective: To develop a generalizable model for ranking embryos at the blastocyst stage that is applicable to any type of microscope, day of image capture, and cycle type.

Impact Statement: We developed a deep learning-based embryo ranking model that is broadly applicable and may reduce time to pregnancy by optimizing the order of embryo selection for transfer.