EVALUATION OF A FULLY AUTOMATED AI TOOL FOR EMBRYO RANKING

This study aims to investigate whether embryo ranking by a fully automated AI tool (iDAScore) results in a similar transfer-to-pregnancy compared to manual embryo ranking by an embryologist. IVF patients who are planned for a freeze-all approach (where all usable embryos are frozen and transferred in later transfer cycles) will be allocated to either the control (ranking by embryologist) or intervention arm (ranking by iDAScore). The frozen embryos will be warmed and transferred one by one, according to their assigned rank. We want to see if the average number of embryo transfers that is needed to achieve a clinical pregnancy (transfer-to-pregnancy) is similar in both groups.