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

NCT ID NCT07598097

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.

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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.

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Rigshospitalet, Copenhagen Univeristy Hospital

    RECRUITING

    Copenhagen, 2100, Denmark

    Contact Phone: •••-•••-•••• Email: •••••@•••••