AI vs. Doctor's gut: who wins in preterm birth prediction?
NCT ID NCT07402668
First seen Jun 27, 2026 · Last updated Jul 02, 2026 · Updated 2 times
Summary
This study looks at how showing AI predictions to doctors affects their confidence and accuracy in predicting preterm birth. About 125 obstetricians will review ultrasound images and make decisions, first without and then with AI help. The goal is to see which way of presenting AI information helps doctors make better, more confident decisions.
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 125 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Feb 2026
- Expected to finish
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Jul 2026
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.
Show the full entry requirements Hide 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: * Medical doctors currently working in or training within the field of obstetrics and gynecology. * Experience performing transvaginal cervical ultrasound examinations. Exclusion Criteria: \- No prior experience performing transvaginal cervical ultrasound examinations.
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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
18 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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Aalborg University Hospital (Aalborg and Thisted)
RECRUITINGAalborg, 9000, Denmark
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Aarhus University Hospital
RECRUITINGAarhus, 8200, Denmark
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Copenhagen University Hospital, North Zealand
RECRUITINGHillerød, 3400, Denmark
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Copenhagen University Hospital, Rigshospitalet
RECRUITINGCopenhagen, 2100, Denmark
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Esbjerg Hospital
RECRUITINGEsbjerg, 6700, Denmark
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Gødstrup Regional Hospital
RECRUITINGGødstrup, 7400, Denmark
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Herlev Hospital
RECRUITINGHerlev, 2730, Denmark
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Holbæk Hospital
RECRUITINGHolbæk, 4300, Denmark
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Horsens Regional Hospital
RECRUITINGHorsens, 8700, Denmark
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Hvidovre Hospital
RECRUITINGHvidovre, 2650, Denmark
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Kolding Hospital
RECRUITINGKolding, 6000, Denmark
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Odense University Hospital (Odense and Svendborg)
RECRUITINGOdense, 5000, Denmark
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Randers Regional Hospital
RECRUITINGRanders, 8930, Denmark
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Region Hospital North Jutland
RECRUITINGHjørring, 9800, Denmark
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Slagelse Hospital
RECRUITINGSlagelse, 4200, Denmark
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South Jutland Hospital
RECRUITINGAabenraa, 6200, Denmark
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Viborg Regional Hospital
RECRUITINGViborg, 8800, Denmark
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Zealand University Hospital (Roskilde and Nykøbing F.)
RECRUITINGRoskilde, 4000, Denmark
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