Clinical trials: Estimation of Fetal Weight
Fetal Growth Abnormalities, Fetal Weight
Impact of AI Feedback on Ultrasound Biometry Accuracy Across the Expertise Levels
Objective: To evaluate the impact of real-time AI feedback on fetal biometry accuracy and investigate the Expertise Reversal Effect-whether AI benefits diminish as user experience increases.
- Trial name
- NCT07476638
- Testing
- AI interventional group
- Where
- 3 sites in Denmark
- Volunteers
- 75 people, healthy volunteers welcome
- Sponsor
- Copenhagen Academy for Medical Education and Simulation
Pregnancy Complications
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.
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…
- Trial name
- NCT06314178
- Where
- Denmark
- Volunteers
- 283 people, healthy volunteers welcome
- Sponsor
- Copenhagen Academy for Medical Education and Simulation