Development of an artificial intelligence model for predicting the likelihood of human embryo euploidy based on blastocyst images from multiple imaging systems during IVF.
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ABSTRACT:
SUBMITTER: Diakiw SM
PROVIDER: S-EPMC9340116 | biostudies-literature | 2022 Jul
REPOSITORIES: biostudies-literature
Publications
Development of an artificial intelligence model for predicting the likelihood of human embryo euploidy based on blastocyst images from multiple imaging systems during IVF.
Diakiw S M SM Hall J M M JMM VerMilyea M D MD Amin J J Aizpurua J J Giardini L L Briones Y G YG Lim A Y X AYX Dakka M A MA Nguyen T V TV Perugini D D Perugini M M
Human reproduction (Oxford, England) 20220701 8
<h4>Study question</h4>Can an artificial intelligence (AI) model predict human embryo ploidy status using static images captured by optical light microscopy?<h4>Summary answer</h4>Results demonstrated predictive accuracy for embryo euploidy and showed a significant correlation between AI score and euploidy rate, based on assessment of images of blastocysts at Day 5 after IVF.<h4>What is known already</h4>Euploid embryos displaying the normal human chromosomal complement of 46 chromosomes are pre ...[more]
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