# Assessing Demographic Biases in Deep Learning Model for Fetal Growth Estimation in Clinical Practice. Patients Eligible for Inclusion Are Women with a Gestational Age Between 24-42 Weeks Undergoing a Third-trimester Growth Scan. the Image Data from the Scan Are Used to Calculate Fetal Weight.

> **NCT06314178** · — · COMPLETED · sponsor: **Copenhagen Academy for Medical Education and Simulation** · enrollment: 185 (actual)

## Conditions studied

- Pregnancy Complications

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT06314178
- **Lead sponsor:** Copenhagen Academy for Medical Education and Simulation
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2024-07-01
- **Primary completion:** 2024-08-30
- **Final completion:** 2024-11-30
- **Target enrollment:** 185 (ACTUAL)
- **Last updated:** 2024-12-04


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06314178

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06314178, "Assessing Demographic Biases in Deep Learning Model for Fetal Growth Estimation in Clinical Practice. Patients Eligible for Inclusion Are Women with a Gestational Age Between 24-42 Weeks Undergoing a Third-trimester Growth Scan. the Image Data from the Scan Are Used to Calculate Fetal Weight.". Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/clinical/NCT06314178. Licensed CC0.

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