Machine learning for accurate estimation of fetal gestational age based on ultrasound images.
Ontology highlight
ABSTRACT: Accurate estimation of gestational age is an essential component of good obstetric care and informs clinical decision-making throughout pregnancy. As the date of the last menstrual period is often unknown or uncertain, ultrasound measurement of fetal size is currently the best method for estimating gestational age. The calculation assumes an average fetal size at each gestational age. The method is accurate in the first trimester, but less so in the second and third trimesters as growth deviates from the average and variation in fetal size increases. Consequently, fetal ultrasound late in pregnancy has a wide margin of error of at least ±2 weeks' gestation. Here, we utilise state-of-the-art machine learning methods to estimate gestational age using only image analysis of standard ultrasoun
SUBMITTER: Lee LH
PROVIDER: S-EPMC9998590 | biostudies-literature | 2023 Mar
REPOSITORIES: biostudies-literature
ACCESS DATA