May 16th, 2022
Objective: To develop an interpretable machine learning model for optimizing the day of trigger in terms of mature oocytes (MII), fertilized oocytes (2PNs), and usable blastocysts.
Design: Retrospective study.
Setting: A group of three assisted reproductive technology centers in the United States.
Patient(s): Patients undergoing autologous in vitro fertilization cycles from 2014 to 2020 (n = 30,278).