P-645 A machine learning model for optimal trigger day recommendation

Human Reproduction (2024)

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P-645 A machine learning model for optimal trigger day recommendation

P Wygocki, J Znaniecki, R Bojanowski, A Zapała, K Zieliński, N Gajewska, D Drzyzga, P Sankowski Human Reproduction, Volume 39, Issue Supplement_1, July 2024, deae108.977

This study explored the use of AI to support trigger day decisions in IVF, aiming to improve the number of mature oocytes retrieved. An algorithm analyzed ultrasound and clinical data to recommend the optimal day for triggering follicular maturation. The study compared outcomes between cases where AI recommendations aligned with physician decisions and those where they did not. Findings suggest that AI-guided timing can enhance oocyte retrieval outcomes. These results highlight the potential of AI to support personalized stimulation strategies in IVF.

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