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September 10, 2025Fertility and SterilityOpen Access

Stability and Reliability of Artificial Intelligence Models in Embryo Selection for In-Vitro Fertilization

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AI models exhibited poor consistency in embryo rank ordering, with a Kendall's W of approximately 0.35.
Critical error rates reached about 15%, where lower-quality embryos were often ranked above viable ones.
Inter-model variability was significant, even among models with similar predictive accuracies, affecting reliability.
Model instability increased when tested on data from different fertility centers, emphasizing sensitivity to distribution shifts.

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Laboratory study shows instability in AI embryo selection models, indicating need for robust frameworks.

Thirumalaraju et al. (2025) studied this question.

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