An observational study in Fetal Growth Retardation, Fetal Macrosomia and Fetal Growth, sponsored by Copenhagen Academy for Medical Education and Simulation. Not yet recruiting. Open to female participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-02-22.
Sponsored by Copenhagen Academy for Medical Education and Simulation · Observational
This study serves as a supplemental investigation to the randomized controlled SCAN-AID study (NCT0632187). This study will evaluate and compare the fetal growth estimation outcomes of AI-supported groups, expert sonographers, and control groups using a secondary AI predictive model.
The goal of this study is to compare the effects of two distinct AI methods on fetal ultrasound diagnostic accuracy. It serves as a supplementary investigation to the SCAN-AID study (NCT NCT06232187). This study aims will compare the diagnostic accuracy of two types of AI methods.
From the SCAN-AID study ultrasound novices were randomized into one of three groups with different levels of AI support: control group, AI feedback group 1 where the participants are presented with basic black box AI feedback, and AI feedback group 2 where the participants are presented with a more detailed explainable AI feedback. All the participants are tasked to perform an ultrasound fetal weight estimation (EFW) on pregnant women at gestational age 30-37. The outcomes were than compared to the expert sonographers measurements.
In this study an operator independent AI method that predicts the fetal weight is used on the SCAN-AID ultrasound examinations. .
Medical students are recruited from the Medical universities in Denmark (mainly Copenhagen University) Pregnant women are chosen from the fetal medical departement at Rigshospitalet, Copenhagen.
Pregnant women:
Inclusion Criteria:
Exclusion Criteria:
Expert sonographers ultrasound examination.
Control group ultrasound examination with no AI support.
Feedback group 1 ultrasound examination with basic black box AI support.
Feedback group 2 ultrasound examination with detailed explainable AI support.
Fetal weight
Estimation of fetal weight, generated from AI analysis of fetal ultrasound images.
Time frame: 10 minutes
Ultrasound fetal weight estimation
Estimation of fetal weight, calculated from hadlock formula with information from the three standard planes of the head, abdomen and femur.
Time frame: 15 minutes
No study locations are listed for this record.
Plan to share: Undecided
No publications or documents are linked to this record.
This study is not yet recruiting, as verified in Feb 2024. You cannot join it, but the record below documents what was studied.
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Copenhagen Academy for Medical Education and Simulation