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AI ultrasound could predict Baby's weight more easily

NCT ID NCT07661433

Diagnosis Sponsor: University of North Carolina, Chapel Hill Source: ClinicalTrials.gov ↗

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jul 09, 2026 · Updated 2 times

Summary

This study tests an artificial intelligence (AI) tool that estimates a baby's weight from ultrasound videos. Researchers will compare the AI's estimates to standard measurements and the actual birth weight. The goal is to see if the AI tool is accurate enough to help doctors, especially when specialists are not available.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
AI diagnostic ultrasound tool
What this could lead to
If successful, this AI tool could provide a quick, easy way to estimate fetal weight, potentially improving care in settings without specialist ultrasound expertise.
What could go wrong
This is an early-stage study focused on accuracy, not patient outcomes. The AI tool is for research only and not yet ready for clinical use. Results may not apply to all pregnancies.

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.

Participants

About 1,000 people

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

Started

Jun 2026

Expected to finish

Dec 2026

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.

Who is studied

1,000 pregnant individuals

Ages

18 years and older

Sex

Female participants only

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

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.

Inclusion Criteria: * 18 years of age or older * Viable intrauterine pregnancy * Delivery expected within one week of study procedures between 24 0/7 and 42 6/7 weeks, including participants with a scheduled induction or cesarean delivery on a known date, or those admitted in spontaneous labor * Ability and willingness to provide written informed consent * Willingness to comply with all study procedures Exclusion Criteria: * Maternal body mass index ≥ 40 kg/m\^2 * Multiple gestation (i.e., twins or higher order) * Known major fetal malformation or anomaly * Any maternal condition (medical, psychological, or social) that, in the opinion of the study team, may interfere with study participation or data integrity.

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Conditions

The condition(s) this trial relates to.

Fetal Weight

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Fetal weight Machine learning Pregnancy Pregnancy - prenatal testing

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    5 sites in 4 countries. 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

  • Ochsner Health

    NOT_YET_RECRUITING

    New Orleans, Louisiana, 70115, United States

  • University Teaching Hospital

    NOT_YET_RECRUITING

    Lusaka, Zambia

  • University of North Carolina

    RECRUITING

    Chapel Hill, North Carolina, 27516, United States

  • University of Rwanda

    NOT_YET_RECRUITING

    Kigali, Rwanda

  • University of Saskatchewan

    NOT_YET_RECRUITING

    Saskatoon, Saskatchewan, Canada

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