AI Estimation of Gestational Age from Blind Ultrasound Sweeps in Low-Resource Settings.

ABSTRACT:

Background

Ultrasound is indispensable to gestational age estimation and thus to quality obstetrical care, yet high equipment cost and the need for trained sonographers limit its use in low-resource settings.

Methods

From September 2018 through June 2021, we recruited 4695 pregnant volunteers in North Carolina and Zambia and obtained blind ultrasound sweeps (cineloop videos) of the gravid abdomen alongside standard fetal biometry. We trained a neural network to estimate gestational age from the sweeps and, in three test data sets, assessed the performance of the artificial intelligence (AI) model and biometry against previously established gestational age.

Results

In our main test set, the mean absolute error (MAE) (±SE) was 3.9±0.12 days for the model versus 4.7±0.15

SUBMITTER: Pokaprakarn T 

PROVIDER: S-EPMC9980216 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature