The Impact of Image Acquisition in Cervical Ultrasound on AI-Based Prediction of Preterm Birth in Clinical Practice
Recruiting
Observational Study
Preterm Birth
Artificial Intelligence (AI) in Diagnosis
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Age
- 18 and older
- Sex
- Female
- Study type
- Observational
- Participants needed
- 2,000 (estimated)
- Sponsor
- Rigshospitalet, Denmark · Other
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About This Trial
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.
Trial Locations
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Eligibility Criteria
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 pre…
Contacts