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