Can AI help doctors measure unborn babies better?
NCT ID NCT07476638
First seen Jun 25, 2026 · Last updated Aug 07, 2026 · Updated 3 times
Summary
This study tests whether real-time AI feedback helps healthcare professionals measure fetal size more accurately during ultrasound. 75 participants (novices, intermediates, and experts) will be randomly assigned to use AI assistance or standard methods. The main goal is to see if AI improves accuracy compared to actual birth weight.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- AI feedback software
- What this could lead to
- If successful, this could show that AI helps less experienced users perform fetal measurements more accurately, potentially improving prenatal care.
- What could go wrong
- This is a small, early-stage trial focused on measuring accuracy, not on patient outcomes. The AI may not help experts and could even slow them down.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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About 75 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Mar 2026
- Expected to finish
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Mar 2027
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Clinical Target Population: Healthcare professionals and students, including but not limited to: * Medical students (doing their masters. * Resident physicians and Senior Consultants in Obstetrics and Gynecology. Exclusion: \- If the participants do not understand and speak either Danish or English Pregnant women: Inclusion Criteria: * Pre pregnancy BMI \< 40 * Singelton pregnancy * GA ≥ 37+0 at time of induction * Intact membranes (to ensure consistent amniotic fluid index) Exclusion Criteria: * Major fetal anatomical anomaly * Anhydramnios (DVP \< 2 cm) * CPR ratio \< 2.5th percentile
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
3 sites. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Nordsjællands Hospital
NOT_YET_RECRUITINGHillerød, Capital Region, 3400, Denmark
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Rigshospitalet
ENROLLING_BY_INVITATIONCopenhagen, København Ø, 2100, Denmark
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Rigshospitalet
RECRUITINGCopenhagen, København Ø, 2100, Denmark
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