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

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.

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.