NCT06044129View on ClinicalTrials.gov

A Novel Approach Integrating Magnetic Resonance Imaging (MRI) Data and Artificial Intelligence for Predicting the Success Rate of Vaginal Delivery in Pregnant Women

Not yet recruitingOBSERVATIONAL

Enrollment

200

Participants

Timeline

Start Date

January 1, 2024

Primary Completion Date

September 1, 2026

Study Completion Date

December 31, 2026

Conditions

Vaginal Delivery

Interventions

DEVICE

Mri scan of fetal head and pelvis

The pelvic parameters and fetal head parameters of pregnant women were measured by MRI, including pelvic entrance plane, middle pelvic plane, pelvic outlet plane, pubic arch Angle, double parietal diameter, occipitofrontal diameter, and suboccipital fontanel diameter.

Trial Locations (1)

325027

department of obstetrics of Second Affiliated Hospital of Wenzhou Medical University, Wenzhou

All Listed Sponsors

lead

Second Affiliated Hospital of Wenzhou Medical University

OTHER

NCT06044129 - A Novel Approach Integrating Magnetic Resonance Imaging (MRI) Data and Artificial Intelligence for Predicting the Success Rate of Vaginal Delivery in Pregnant Women | Biotech Hunter | Biotech Hunter