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EVALUATION OF A FULLY AUTOMATED AI TOOL FOR EMBRYO RANKING
Sponsor: Universitair Ziekenhuis Brussel
Summary
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.
Official title: PROSPECTIVE EVALUATION OF THE IDASCORE ALGORITHM FOR EMBRYO RANKING
Key Details
Gender
FEMALE
Age Range
18 Years - 42 Years
Study Type
INTERVENTIONAL
Enrollment
1325
Start Date
2025-12-11
Completion Date
2029-10-01
Last Updated
2025-12-23
Healthy Volunteers
Yes
Conditions
Interventions
AI algorithm
iDAScore® is a deep learning-based tool that provides fully automated analysis of embryo time-lapse images. It automatically generates a score (1-9.9) for each embryo in the patient's embryo cohort, which correlates to the likelihood of achieving a fetal heartbeat (clinical pregnancy).
Locations (1)
Brussels IVF, UZ Brussel
Brussels, Brussels Capital, Belgium