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

ConditionVaginal Delivery

Trial statusNot yet recruiting

Trial phaseNot listed

Trial typeObservational

Biological sexFemale

Age18-35

SponsorSecond Affiliated Hospital of Wenzhou Medical University

About this trial

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.

Eligibility criteria

Qualifiers

Full-term.

Single fetus, head first.

Pregnant women have vaginal couvade wishes.

Complete clinical data of pregnant women.

Disqualifiers

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.

Trial design

Treatments tested in this trial

Mri scan of fetal head and pelvis

Treatment groups

200 Participants

are divided into 1 treatment group

Sponsors and collaborators

Second Affiliated Hospital of Wenzhou Medical University

Lead sponsor

Source ClinicalTrials.gov