EVALUATION OF A FULLY AUTOMATED AI TOOL FOR EMBRYO RANKING

Recruiting now · Not applicable

Conditions studied: Pregnancy

In brief

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.

Key facts

Study ID
NCT07187934
Run by
Universitair Ziekenhuis Brussel
People needed
1325
Starts
2025-12-11
Expected to finish
2029-10-01
Last updated by the study team
2025-12-23

Who can join

Age: 18 and older, up to 42. Sex: female. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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