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.
A Prospective Silent Trial of Artificial Intelligence for Fetal Weight Estimation
1 other identifier
observational
283
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2024
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 6, 2024
CompletedFirst Posted
Study publicly available on registry
March 15, 2024
CompletedStudy Start
First participant enrolled
July 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 30, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 30, 2025
CompletedJune 12, 2026
June 1, 2026
1.5 years
March 6, 2024
June 11, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Comparing the accuracy of the Hadlock formula and the AI model
The primary objective is to compare the accuracy of fetal weight estimation between the Hadlock formula and two deep learning models in clinical practice
From enrollment to the birth of the child
Secondary Outcomes (1)
Demographic biases
From enrollment to the birth of the child
Study Arms (1)
Pregnant women between 24-42 weeks of gestation
No interventions
Eligibility Criteria
Department of Prenatal Examinations at Rigshospitalet, Copenhagen, Denmark.
You may qualify if:
- Women with gestational age between 24-42 weeks undergoing a third-trimester growth scan.
You may not qualify if:
- Women with multiple pregnancies.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Copenhagen University Hospital, Rigshospitalet
Copenhagen, Denmark
Related Publications (1)
Salomon LJ, Alfirevic Z, Da Silva Costa F, Deter RL, Figueras F, Ghi T, Glanc P, Khalil A, Lee W, Napolitano R, Papageorghiou A, Sotiriadis A, Stirnemann J, Toi A, Yeo G. ISUOG Practice Guidelines: ultrasound assessment of fetal biometry and growth. Ultrasound Obstet Gynecol. 2019 Jun;53(6):715-723. doi: 10.1002/uog.20272.
PMID: 31169958BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
March 6, 2024
First Posted
March 15, 2024
Study Start
July 1, 2024
Primary Completion
December 30, 2025
Study Completion
December 30, 2025
Last Updated
June 12, 2026
Record last verified: 2026-06