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Researchers test using AI to optimize IVF embryo selection

April 11, 2019 / Jamie Kass

A new artificial intelligence approach by Weill Cornell Medicine investigators can identify with a great degree of accuracy whether a 5-day-old, in vitro fertilized human embryo has a high potential to progress to a successful pregnancy. Weill Cornell Medicine Three examples of human embryos at the blastocyst stage photographed at multiple focal depths (four of seven focal planes shown here, from left to right). The embryos represent good (top), fair (middle) and poor (bottom) quality as designated by the embryologists’ grading system and additional statistical analysis. The technique, which analyses time-lapse images of the early-stage embryos, could improve the success rate of in vitro fertilization (IVF) and minimize the risk of multiple pregnancies. The group’s paper, “Deep Learning Enables Robust Assessment and Selection of Human Blastocysts After In Vitro Fertilization,” published April 4 in NPJ Digital Medicine, a publication of Nature. Infertility is est...