Assessment of embryo implantation potential with a cloud-based automatic software

Abstract Research Question Is the embryo selection by Dana (automatic software for embryo evaluation) associated with a higher implantation rate in IVF-treatments? Design This is a three-phase study for Dana system's validation. Phase_1: Creation of a data-cloud of KID-embryos (Known-Implantation-Data) from 1676 transferred-embryos; Phase_2: Embryo evaluation by Dana considering manual annotations and embryo development videos (389 transferred-embryos); Phase_3: Validation of Dana automatic selection, without embryologist's intervention (147 transferred-embryos). Outcome Measure: Unit-average-distance (UAD), distance of each embryo to the center of the KID-embryos-cloud. Results The implantation rate (IR) of the 1021 KID-embryos from Phase_1 served to set four grades of embryos referring to IR: A=34%, B=25%, C=24%, and D=19%. Phase_2: a classification ranking according to the UAD and implantation potential was established: Top (UAD≤0.50), High (UAD=0.51–0.66), Medium (UAD=0.67–1.03) and Low (UAD>1.03). The pregnancy rates were 59%, 46%, 36%, and 28% respectively (p 1.03) was significantly lower: 46% vs. 25%, respectively (p=0.037). The twin-gestation rate was higher in cases where the number of TOP-embryos (UAD≤0.5) transferred were two (52%) vs. one (25%), (p Conclusions Selecting embryos based on the Dana-ranking leads to an increased chance of success in IVF-treatments at least, for oocyte donation program. The multicenter nature of the study supports its applicability at different clinics, standardizing the embryo development's interpretation. The Dana's innovation is that the system increases its accuracy as the database grows.