Clinical Trial: Machine-Learning Prediction of Pregnancy Outcomes After Assisted Reproductive Treatments

U.S., Oct. 3 -- ClinicalTrials.gov registry received information related to the study (NCT07855783) titled 'Machine-Learning Prediction of Pregnancy Outcomes After Assisted Reproductive Treatments' on Sept. 28.

Brief Summary: The goal of this observational study is to develop and validate a machine-learning model to predict pregnancy outcomes in women who have a positive pregnancy test following assisted reproductive treatment (ART), with the primary analysis focusing on in vitro fertilization (IVF) and frozen embryo transfer (FET). The study will also include an exploratory analysis of pregnancies following intrauterine insemination (IUI). The main questions it aims to answer are:

Can early blood levels of beta-human chorionic gonadotrop...