Combined Use of Artificial Intelligence (AI) Algorithms for Evaluating Embryo Viability and Embryo Genetics Improves Selection of Embryos Leading to Clinical Pregnancy
Objective: To determine if a non-invasive AI algorithm for evaluating the likelihood of embryo euploidy (genetics AI) improves selection of viable embryos when used in combination with an AI for evaluating the likelihood of clinical pregnancy (viability AI). Materials and Methods: 1149 embryo images with matched clinical pregnancy outcomes (fetal heartbeat at first scan) were retrospectively obtained from 7 IVF clinics in the USA, Australia,…
Prediction of Live Birth Using an Artificial Intelligence (AI) Algorithm Developed to Evaluate Embryo Genetic Status from Day 5 Images
Objective: To investigate if a non-invasive AI algorithm developed to evaluate the likely genetic status of embryos at transfer is predictive of live birth. Materials and Methods: 1827 day 5 embryo images with matched clinical pregnancy outcomes (fetal heartbeat at first scan) and live birth outcomes were retrospectively obtained from an IVF clinic in Australia. Images were provided for 1419 patients who underwent single embryo…