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Comparison of two cancellation strategies to lower the risk of multiple pregnancies in gonadotropin stimulated intrauterine insemination cycles.

Aurélie BerdinKevin BellaïcheHady El HachemBruno VielleGuillaume LegendrePhilippe DescampsPascale May-PanloupSarah PrevostPierre-Emmanuel Bouet
Published in: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics (2024)
The use of an algorithm based on the woman's age, serum estradiol level and number of follicles of at least 14 mm on trigger day allows the MPR to be reduced without impacting the LBR.
Keyphrases
  • machine learning
  • preterm birth
  • deep learning
  • gestational age
  • estrogen receptor
  • pregnancy outcomes
  • neural network