Status:

NOT_YET_RECRUITING

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

Lead Sponsor:

Second Affiliated Hospital of Wenzhou Medical University

Conditions:

Vaginal Delivery

Eligibility:

FEMALE

18-35 years

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 t...

Eligibility Criteria

Inclusion

  • Full-term.
  • Single fetus, head first.
  • Pregnant women have vaginal couvade wishes.
  • Complete clinical data of pregnant women.

Exclusion

  • 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.

Key Trial Info

Start Date :

January 1 2024

Trial Type :

OBSERVATIONAL

Allocation :

ESTIMATED

End Date :

December 31 2026

Estimated Enrollment :

200 Patients enrolled

Trial Details

Trial ID

NCT06044129

Start Date

January 1 2024

End Date

December 31 2026

Last Update

September 21 2023

Active Locations (1)

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department of obstetrics of Second Affiliated Hospital of Wenzhou Medical University

Wenzhou, Zhejiang, China, 325027

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