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Clinical Trials/NCT06044129
NCT06044129
Not Yet Recruiting
N/A

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

Second Affiliated Hospital of Wenzhou Medical University1 site in 1 country200 target enrollmentJanuary 1, 2024
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ConditionsVaginal Delivery

Overview

Phase
N/A
Intervention
Not specified
Conditions
Vaginal Delivery
Sponsor
Second Affiliated Hospital of Wenzhou Medical University
Enrollment
200
Locations
1
Primary Endpoint
The mode of delivery
Status
Not Yet Recruiting
Last Updated
2 years ago
OverviewInvestigatorsEligibility CriteriaOutcomesSitesSimilar Trials

Overview

Brief 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.

Registry
clinicaltrials.gov
Start Date
January 1, 2024
End Date
December 31, 2026
Last Updated
2 years ago
Study Type
Observational
Sex
Female

Investigators

Sponsor
Second Affiliated Hospital of Wenzhou Medical University
Responsible Party
Sponsor

Eligibility Criteria

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.

Outcomes

Primary Outcomes

The mode of delivery

Time Frame: during delivery

Vaginal or cesarean delivery in the end

Study Sites (1)

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