Predicting Embryo Ploidy Status Using Time-lapse Images
Published in Human Reproduction, 2023
Citation: S Rajendran and others, O-120 Predicting Embryo Ploidy Status Using Time-lapse Images, Human Reproduction, Volume 38, Issue Supplement_1, June 2023, dead093.147, https://doi.org/10.1093/humrep/dead093.147
Can deep learning models using time-lapse images of embryo development be used to predict embryo ploidy and provide supplemental information to embryologists for clinical decision-making? We developed a general MDBS-Ploidy model that uses time-lapse images and maternal age to predict embryo quality scores and ploidy status.