Evaluating the concordance between AI-based and conventional embryo selection: implications for clinical decision-making

RBMO: Reproductive BioMedicine Online (2026)

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Evaluating the concordance between AI-based and conventional embryo selection: implications for clinical decision-making

Piotr Wygocki, Tomasz Gilewicz, Paweł Pawlik, Michał Siennicki, Michał Brzozowski, Joanna Kuśmierczyk-Kubiak, Urszula Sankowska, Robert Milewski, Agnieszka Chmielowska, Marta Kordalewska, Małgorzata Różańska, Waldemar Kuczyński, Bartłomiej Wojtasik, Piotr Sankowski and Juergen Liebermann

Our recent multicentre study across six IVF centres in five countries demonstrates the potential of artificial intelligence to support embryo selection in IVF. An AI-based embryo scoring algorithm was evaluated against 20 embryologists using 1,681 embryo pairs with known clinical outcomes. The model achieved an accuracy of 70.1%, outperforming most individual embryologists and exceeding the average embryologist accuracy, while performing comparably to expert consensus. These findings highlight the potential of AI to standardize embryo assessment and support embryologists in identifying embryos with the highest likelihood of pregnancy and live birth.

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