OBJECTIVE: To evaluate combinations of candidate biomarkers to develop a multiplexed prediction model for identifying the viability and location of an early pregnancy. In this study, we assessed 24 biomarkers with multiple machine learning-based meth...
RESEARCH QUESTION: Can an artificial intelligence embryo selection assistant predict the incidence of first-trimester spontaneous abortion using static images of IVF embryos?
Journal of assisted reproduction and genetics
Jul 26, 2022
PROPOSE: Does an annotation-free embryo scoring system based on deep learning and time-lapse sequence images correlate with live birth (LB) and neonatal outcomes?
Reproductive sciences (Thousand Oaks, Calif.)
Jan 24, 2022
Spontaneous miscarriage is a common pregnancy complication. Multiple etiologies have been proposed such as genetic aberrations, endocrinology disorder, and immunologic derangement; however, the relevance of circulating lipidomes to the specific condi...
The concentration of circulating pregnancy associated glycoproteins (PAGs) early in pregnancy may serve as markers to predict late embryonic mortality or fetal mortality in cattle. In this study, pregnancies were established in dairy cows, by either ...
Journal of minimally invasive gynecology
Mar 12, 2015
STUDY OBJECTIVE: To demonstrate a surgical video of 2 cases, in which the steps of robotic-assisted abdominal cerclage placement were delineated in one and a uterine vessel injury was repaired in the other.
OBJECTIVE: Development of novel informatics methods focused on improving pregnancy outcomes remains an active area of research. The purpose of this study is to systematically review the ways that artificial intelligence (AI) and machine learning (ML)...
BACKGROUND: Poor implantation rates continue to be the determinant factor for results in assisted reproductive techniques; many factors are thought to be involved including embryo quality, endometrial receptivity and embryo transfer. Assisted hatchin...
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