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

> **NCT06044129** · — · NOT_YET_RECRUITING · sponsor: **Second Affiliated Hospital of Wenzhou Medical University** · enrollment: 200 (estimated)

## Conditions studied

- Vaginal Delivery

## Interventions

- **DEVICE:** Mri scan of fetal head and pelvis

## Key facts

- **NCT ID:** NCT06044129
- **Lead sponsor:** Second Affiliated Hospital of Wenzhou Medical University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2024-01-01
- **Primary completion:** 2026-09-01
- **Final completion:** 2026-12-31
- **Target enrollment:** 200 (ESTIMATED)
- **Last updated:** 2023-09-21


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06044129

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06044129, "A Novel Approach Integrating Magnetic Resonance Imaging (MRI) Data and Artificial Intelligence for Predicting the Success Rate of Vaginal Delivery in Pregnant Women". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT06044129. Licensed CC0.

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