Researchers have developed a novel method to predict IVF success using artificial intelligence (AI). The innovative approach has a higher accuracy in identifying whether a five-day-old, in vitro fertilised human embryo has a high potential to progress to a successful pregnancy.

The technique analyses time-lapse images of the early-stage embryos and could help in improving IVF success rate and minimise the risk of multiple pregnances.

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In the study, published in NPJ Digital Medicine, researchers utilised 12,000 photos of human embryos, taken precisely 110 hours after fertilisation to train an AI algorithm to discriminate between poor and good embryo quality.