Estimating Gestational Age

Estimating Gestational Age

Description

This study developed a neural network model to estimate gestational age using blind ultrasound sweeps from pregnant women in North Carolina and Zambia. The model demonstrated greater accuracy in estimating gestational age than traditional fetal biometry, with a mean absolute error of 3.9 days compared to 4.7 days. These findings suggest the potential for AI-based ultrasound to improve access to quality obstetric care, particularly in low-resource settings.

Creator

University of North Carolina, University of Zambia School of Medicine, Warren Alpert Medical School of Brown University

Information

Pediatrics or Adult

Adult

Speciality

Radiology

Modality

Ultrasound

Training

4,695 blind ultrasound sweeps (cineloops) from pregnant volunteers in North Carolina and Zambia

Github

Publication

FDA

Scroll to Top