CHARACTERIZATION OF AN ARTIFICIAL INTELLIGENCE MODEL FOR RANKING STATIC IMAGES OF BLASTOCYST STAGE EMBRYOS.
A retrospective study was conducted to evaluate the benefit of characterizing an artificial intelligence model to rank blastocyst-stage embryos and identify limitations that may affect the methods clinical usage. This artificial intelligence model was able to successfully categorize embryos according to the development of the trophectoderm and inner cell mass and showed improved predictions of clinical pregnancy.