MedTrace Logo

EVALUATION OF A FULLY AUTOMATED AI TOOL FOR EMBRYO RANKING

NCT07187934 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1325

Last updated 2025-12-23

No results posted yet for this study

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.

Conditions

  • Pregnancy

Interventions

DEVICE

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).

Sponsors & Collaborators

  • Universitair Ziekenhuis Brussel

    lead OTHER

Principal Investigators

  • Julie Praet, M.D. · Brussels IVF, UZ Brussel

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
42 Years
Sex
FEMALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-12-11
Primary Completion
2028-12-11
Completion
2029-10-01

Countries

  • Belgium

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07187934 on ClinicalTrials.gov