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AI preterm birth predictor put to the test: does image quality matter?

NCT ID NCT07598097

Knowledge-focused Sponsor: Rigshospitalet, Denmark 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026

Summary

This study looks at whether an artificial intelligence (AI) model can predict preterm birth from cervical ultrasound images, and if the way the images are taken affects its accuracy. Researchers will collect images from 2000 pregnant women during their routine second-trimester scan. The goal is to understand how different ultrasound settings impact the AI's performance, not to provide a direct treatment.

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 2,000 people

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

Started

Mar 2026

Expected to finish

Feb 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.

Who is studied

Pregnant women attending routine second-trimester scan at Rigshospitalet from March to September, 2026.

Ages

18 years and older

Sex

Female participants only

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: * Pregnant women aged ≥18 years * Attending routine second-trimester scan (and scheduled transvaginal cervical assessment per local protocol/workflow) Exclusion Criteria: * Absence of transvaginal cervical assessment at the second-trimester scan * Missing follow-up data on pregnancy outcome (gestational age at delivery) * Inadequate image quality or missing required cervical ultrasound image

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Conditions

The condition(s) this trial relates to.

Premature Birth

As listed by the trial registrant

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

Artificial intelligence (AI) in diagnosis Preterm birth

How to take part

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

  1. The places running it

    1 site. 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

  • Rigshospitalet, Copenhagen Univeristy Hospital

    RECRUITING

    Copenhagen, 2100, Denmark

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