Clinical Research Directory

Comparing Artificial Intelligence and Standard Ultrasound Methods for Estimating Fetal Weight in Pregnancy. Patients Eligible for Inclusion Are Women With a Gestational Age Between 24-42 Weeks Undergoing a Growth Scan. The Image Data From the Scan Are Used to Calculate Fetal Weight.

Sponsor: Copenhagen Academy for Medical Education and Simulation

Summary

The primary aim of this observational study is to compare the accuracy of two artificial intelligence (AI) models with the traditional Hadlock formula for estimating fetal weight from ultrasound scans performed in pregnant women between 24 and 42 weeks of gestation. The secondary aim is to investigate potential demographic bias in the AI models. The demographic factors examined include body mass index (BMI), parity, gestational age, maternal age, fetal sex, and the presence of preeclampsia. Participants' ultrasound scans will be pseudonymized and securely stored on password-protected removable drives to ensure the protection of their identity and privacy. The ultrasound data will subsequently be transferred to the Technical University of Denmark (DTU), where the AI models will analyze the images to estimate fetal weight.

Official title: A Prospective Silent Trial of Artificial Intelligence for Fetal Weight Estimation

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