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The Impact of Image Acquisition in Cervical Ultrasound on AI-Based Prediction of Preterm Birth in Clinical Practice

NCT07598097 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2026-05-20

No results posted yet for this study

Summary

This study prospectively evaluates whether the performance of an already-developed artificial intelligence (AI) model for predicting spontaneous preterm birth changes when cervical ultrasound images are obtained using different ultrasound image settings.

The primary research question is whether the AI model performs differently across images acquired with different imaging settings.

Conditions

Interventions

OTHER

Cervical ultrasound image acquisition

Acquisition of cervical ultrasound images with variation in image acquisition parameters.

Sponsors & Collaborators

  • Department of Computer Science, University of Copenhagen, Denmark

    collaborator UNKNOWN

  • Technical University of Denmark

    collaborator OTHER

  • Sundhedsdonationer

    collaborator UNKNOWN

  • Rigshospitalet, Denmark

    lead OTHER

Principal Investigators

  • Martin G Tolsgaard, MD, PhD, DMSc · Department of Obstetrics and Gynecology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-03-11
Primary Completion
2027-01-31
Completion
2027-02-28

Countries

  • Denmark

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07598097 on ClinicalTrials.gov