EMBRYO ЕRANSFER IN YOUNG PAЕIENЕS USING AI
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Abstract
Despite the fact that a woman's young age is a key factor in the effectiveness of ART programs, the pregnancy rate per treatment cycle remains low in patients under the age of 35, highlighting the need to improve the outcomes of IVF programs. The use of AI technologies to select the optimal embryo for transfer may enhance the results, but more data is needed to confirm this hypothesis.
The aim of this study is to investigate whether the selection of embryos using AI improves the outcomes of IVF/ICSI programs in women under the age of 35.
Material and methods. A prospective randomized study included 120 patients aged 18-34 who underwent IVF/ICSI at the Semya Medical Center (Ufa) from January 1, 2024, to April 1, 2024. The results of IVF/ICSI protocols were analyzed in patients divided into groups depending on the embryo selection method: group 1 (experimental, n = 60) – selection using AI ERICA 1.0; group 2 (control, n = 60) – routine morphological assessment using the Gardner scale.
Results. In the group where embryo selection was performed using AI (n = 60), 31 clinical pregnancies (51.7%) were registered, compared to 24 pregnancies (40.0%) in the control group (p = 0.200). In the experimental group, 2 cases ended in spontaneous abortion (6.5% of all pregnancies), while in the control group, 3 cases ended in spontaneous abortion (12.5%) (p = 0.440).
Conclusion. The results of the study show that AI can be a promising tool for selecting embryos for transfer. However, additional studies with a larger sample size are needed for final conclusions.
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