Embryo Selection & AI - Current Status What is the present performance of artificial intelligence (AI) decision support during embryo selection compared to the standard embryo selection by embryologists? AI consistently outperformed the clinical teams in all the studies focused on embryo morphology and clinical outcome prediction during embryo selection assessment. The experienced medical team

Scientists recently have combined computer vision image processing methods and deep learning techniques to create the non-invasive Life Whisperer AI model for robust prediction of embryo viability, as measured by clinical pregnancy outcome, using single static images of Day 5 blastocysts obtained from standard optical light microscope systems. The Fertility Center of Crete has

With approximately 70% accuracy, an AI algorithm can assist in determining whether the number of chromosomes in an in vitro fertilized embryo is normal or abnormal. An artificial intelligence (AI) tool has been developed by researchers that can identify in vitro fertilized embryos with aneuploidy, or an abnormal number of chromosomes, with about 70% accuracy

AI in ART A well-known chemist once said, "Nothing is lost, nothing is created, everything changes." The same is true with artificial intelligence (AI); anything that it touches changes. The question of whether AI is useful in assisted reproductive technologies (ART) like it is in other industries thus emerges. When it comes down to