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The Impact of Image Acquisition in Cervical Ultrasound on AI-Based Prediction of Preterm Birth in Clinical Practice
Sponsor: Rigshospitalet, Denmark
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.
Official title: The Impact of Image Acquisition in Cervical Ultrasound on AI-Based Prediction of Preterm Birth in Clinical Practice: A Prospective Observational Study
Key Details
Gender
FEMALE
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
2000
Start Date
2026-03-11
Completion Date
2027-02
Last Updated
2026-05-20
Healthy Volunteers
Not specified
Interventions
Cervical ultrasound image acquisition
Acquisition of cervical ultrasound images with variation in image acquisition parameters.
Locations (1)
Rigshospitalet, Copenhagen Univeristy Hospital
Copenhagen, Denmark