Embryo classification beyond pregnancy: early prediction of first trimester miscarriage using machine learning

Abstract excerpt

PURPOSE: First trimester miscarriage is a major concern in IVF-ET treatments, accounting for one out of nine clinical pregnancies and for up to one out of three recognized pregnancies. To develop a machine learning classifier for predicting the risk of cleavage-stage embryos to undergo first trimester miscarriage based on time-lapse images of preimplantation development. METHODS: Retrospective study of a 4-year...

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