An artificial intelligence model (euploid prediction algorithm) can predict embryo ploidy status based on time-lapse data.

ABSTRACT:

Background

For the association between time-lapse technology (TLT) and embryo ploidy status, there has not yet been fully understood. TLT has the characteristics of large amount of data and non-invasiveness. If we want to accurately predict embryo ploidy status from TLT, artificial intelligence (AI) technology is a good choice. However, the current work of AI in this field needs to be strengthened.

Methods

A total of 469 preimplantation genetic testing (PGT) cycles and 1803 blastocysts from April 2018 to November 2019 were included in the study. All embryo images are captured during 5 or 6 days after fertilization before biopsy by time-lapse microscope system. All euploid embryos or aneuploid embryos are used as data sets. The data set is divided into training set, validatio

SUBMITTER: Huang B 

PROVIDER: S-EPMC8667440 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature