Vaginal Delivery Clinical Trial
Official title:
A Novel Approach Integrating Magnetic Resonance Imaging (MRI) Data and Artificial Intelligence for Predicting the Success Rate of Vaginal Delivery in Pregnant Women
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.
Status | Not yet recruiting |
Enrollment | 200 |
Est. completion date | December 31, 2026 |
Est. primary completion date | September 1, 2026 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | Female |
Age group | 18 Years to 35 Years |
Eligibility | Inclusion Criteria: - Full-term. - Single fetus, head first. - Pregnant women have vaginal couvade wishes. - Complete clinical data of pregnant women. Exclusion Criteria: - Pregnancy with serious medical and surgical diseases. - Abnormal fetal position (such as transverse, breech, etc.). - Twin or multiple pregnancies. - Vaginal couvade contraindications such as placenta previa. |
Country | Name | City | State |
---|---|---|---|
China | department of obstetrics of Second Affiliated Hospital of Wenzhou Medical University | Wenzhou | Zhejiang |
Lead Sponsor | Collaborator |
---|---|
Second Affiliated Hospital of Wenzhou Medical University |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | The mode of delivery | Vaginal or cesarean delivery in the end | during delivery |
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