UnknownNot Applicable

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

150 participantsStarted 2024-02-15

Plain-language 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.

Who can participate

Age range18 Years

SexFEMALE

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

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.

What they're measuring

Fetal weight

Timeframe: 10 minutes

Ultrasound fetal weight estimation

Timeframe: 15 minutes

Trial details

NCT IDNCT06268392

SponsorCopenhagen Academy for Medical Education and Simulation

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2024-08-01

Contact for this trial

Mary L Ngo

+4520773779 mary.van.anh.le.ngo@regionh.dk

View on ClinicalTrials.gov More Fetal Growth Retardation trials