A Comparative Study of AI Methods for Fetal Diagnostic Accuracy in Ultrasound

NCT06268392 — Unknown, 150 participants, Copenhagen Academy for Medical Education and Simulation

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RegistryNCT06268392
StatusUnknown
Study typeObservational
Enrollment150 (Estimated)
SponsorCopenhagen Academy for Medical Education and Simulation (Other); collaborators: Slagelse Hospital, Technical University of Denmark, Copenhagen University Hospital, Rigshospitalet
ConditionsFetal Growth Retardation, Fetal Macrosomia, Fetal Growth
Datesstart 2024-02-15 (estimated), primary completion 2024-08-01 (estimated), completion 2024-08-01 (estimated), first posted 2024-02-20, last updated 2024-02-22

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-Summary

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.

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+Detailed description

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. .

+Arms and interventions

ArmTypeInterventionsDescription
Expert sonographerExpert sonographers ultrasound examination.
Control Group (CG)Control group ultrasound examination with no AI support.
Feedback group 1 (FG1)Feedback group 1 ultrasound examination with basic black box AI support.
Feedback group 2 (FG2)Feedback group 2 ultrasound examination with detailed explainable AI support.

+Outcome measures

Primary outcomes

  • Fetal weight [10 minutes]: Estimation of fetal weight, generated from AI analysis of fetal ultrasound images.
  • Ultrasound fetal weight estimation [15 minutes]: Estimation of fetal weight, calculated from hadlock formula with information from the three standard planes of the head, abdomen and femur.

+Eligibility

Sex: Female, ages: 18 Years to any, accepts healthy volunteers

Pregnant women:

Inclusion Criteria:

* Singelton pregnant.
* Gestational age: 30-38 weeks
* Maternal age < 40 years

Exclusion Criteria:

* Oligo hydramnion
* Severe fetal anomaly e.g. fetal heart anomaly, omphalocele etc.
* Severe fetal macrosomia or growth restriction.

+Investigators