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Deep learning analysis of endometrial histology as a promising tool to predict the chance of pregnancy after frozen embryo transfers.

Tiantian LiRenjie LiaoCrystal ChanEllen M Greenblatt
Published in: Journal of assisted reproduction and genetics (2023)
DL-based endometrial histology analysis demonstrated its feasibility and robustness in pregnancy prediction for patients undergoing FETs, indicating its value as a prognostic tool in fertility treatment.
Keyphrases
  • pregnancy outcomes
  • patients undergoing
  • deep learning
  • preterm birth
  • endometrial cancer
  • machine learning
  • artificial intelligence
  • combination therapy
  • replacement therapy