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Feasibility of deep learning for predicting live birth from a blastocyst image in patients classified by age

1 Mar 2019

Abstract excerpt

Abstract Purpose To identify artificial intelligence (AI) classifiers in images of blastocysts to predict the probability of achieving a live birth in patients classified by age. Results are compared to those obtained by conventional embryo (CE) evaluation. Methods A total of 5691 blastocysts were retrospectively enrolled. Images captured 115 hours after insemination (or 139 hours if not yet large enough) were...

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PMID: 30996683
DOI: 10.1002/rmb2.12266

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