Shallow artificial networks with morphokinetic time-lapse parameters coupled to ART data allow to predict live birth.

Mehdi BenchaibElsa LabruneSandrine Giscard d'EstaingBruno SalleJacqueline Lornage

Published in: Reproductive medicine and biology (2022)

Coupling morphokinetic parameters with ART parameters allows to SNNs to predict the probability of LB, and all SNNs seems to be efficient according to the performance scores. An automatic time recognition system coupled to one of these SNNs could allow a complete automation to choose the blastocyst(s) to be transferred.

Keyphrases

hiv infected
antiretroviral therapy
deep learning
machine learning
electronic health record
pregnant women
gestational age