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Clinical Trial Summary

The goal of this observational study is to compare a new artificial intelligence (AI) feedback tool with the traditional method for estimating fetal weight during ultrasound scans on pregnant women between 24-42 weeks of gestation. The study aims to investigate the presence of demographic bias in the AI model. The demographic factors examined in the study include Body Mass Index (BMI), the number of births, fetal age, mother's age, fetal sex, and the presence of preeclampsia. Moreover, the study will compare the accuracy of the AI model and the Hadlock model, a fetal growth formula, in estimating fetal weight. Participants will have their ultrasound scans pseudonymized and securely stored on password-protected removable drives, ensuring their identity and privacy are maintained. Afterward, the ultrasound data will be sent to the Technical University of Denmark (DTU), where the AI model will analyze the images to estimate fetal weight.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT06314178
Study type Observational
Source Copenhagen Academy for Medical Education and Simulation
Contact Julie Leth-Petersen
Phone +4526399590
Email julie.leth-petersen@regionh.dk
Status Not yet recruiting
Phase
Start date March 15, 2024
Completion date July 30, 2024

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