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Embryo classification beyond pregnancy: early prediction of first trimester miscarriage using machine learning.

Tamar AmitaiYoav Kan-TorYuval OrZeev ShohamYoel ShofaroDganit RichterIris Har-VardiAssaf Ben-MeirNaama SrebnikAmnon Buxboim
Published in: Journal of assisted reproduction and genetics (2022)
We report the development of a decision-support tool for identifying the embryos with high risk of miscarriage. Prioritizing embryos for transfer based on their predicted risk of miscarriage in combination with their predicted implantation potential is expected to improve live-birth rates and shorten time-to-pregnancy.
Keyphrases
  • pregnancy outcomes
  • preterm birth
  • pregnant women
  • machine learning
  • deep learning
  • human health
  • risk assessment