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A Novel Approach Integrating Magnetic Resonance Imaging (MRI) Data and Artificial Intelligence for Predicting the Success Rate of Vaginal Delivery in Pregnant Women
Sponsor: Second Affiliated Hospital of Wenzhou Medical University
Summary
The aim of this study was to use MRI imaging to accurately scan the pregnant woman's pelvis and fetal skull, build a 3D model of them, and combine with artificial intelligence to develop an accurate tool to predict the success rate of vaginal delivery.
Key Details
Gender
FEMALE
Age Range
18 Years - 35 Years
Study Type
OBSERVATIONAL
Enrollment
200
Start Date
2024-01-01
Completion Date
2026-12-31
Last Updated
2023-09-21
Healthy Volunteers
Yes
Conditions
Interventions
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.
Locations (1)
department of obstetrics of Second Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China