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Can AI help doctors measure unborn babies better?

NCT ID NCT07476638

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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

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

About 75 people

The number the study aims to enrol. It can still change while the study runs.

Started

Mar 2026

Expected to finish

Mar 2027

An estimate. End dates often move.

Lead sponsor

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

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

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.

  1. The places running it

    3 sites. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. 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

  • Nordsjællands Hospital

    NOT_YET_RECRUITING

    Hillerød, Capital Region, 3400, Denmark

  • Rigshospitalet

    ENROLLING_BY_INVITATION

    Copenhagen, København Ø, 2100, Denmark

  • Rigshospitalet

    RECRUITING

    Copenhagen, København Ø, 2100, Denmark

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