Using AI to predict maternal and neonatal diseases
Official title: Early Prediction and Diagnosis of Maternal and Neonatal Diseases Using Multimodal Health Data
Run by The Eye Hospital of Wenzhou Medical University · NCT06791343 · Data updated 2026-11-12
This study tests whether an AI tool can help doctors spot health problems in mothers and newborns earlier by looking at different types of health information.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 45 Years |
| Sex | All |
| Enrollment | 1000000 (estimated) |
| Sponsor | The Eye Hospital of Wenzhou Medical University Academic / other |
| Locations | 3 sites (Guangzhou, Guangdong and 2 other locations) |
| Status | Recruiting |
| Started | August 1, 2023 |
| Main results expected | May 2025 |
| Study ends | May 2025 |
| Registry record updated | April 17, 2025 |
| Trial ID | NCT06791343 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are pregnant women aged 18 to 45 who have received prenatal care at participating centers and have comprehensive electronic health records available.
✕Probably not a fit
Patients who are under 18 or over 45 years old, or those with insufficient follow-up data, may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study evaluates the effectiveness of an AI-assisted predictive model designed to identify maternal and neonatal diseases by analyzing multimodal health data. It focuses on integrating various patient data, including demographic information, medical history, and imaging results, to enhance diagnostic accuracy and streamline clinical workflows. The study aims to improve early detection and personalized care options for mothers and infants, ultimately enhancing health outcomes. By leveraging advancements in medical imaging and data analysis, the research seeks to address significant challenges in maternal and neonatal health.
Why it matters
Potential benefit: If successful, this study could lead to earlier diagnosis and better management of pregnancy-related and neonatal disorders, improving health outcomes for mothers and infants.
How similar studies have gone: Other studies have shown promise in using AI for predictive modeling in healthcare, suggesting potential success for this approach in maternal and neonatal health.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Pregnant women aged 18 to 45 years. 2. Women who have received prenatal care at participating centers (e.g., hospitals or clinics). 3. Availability of comprehensive electronic health records, including prenatal care data, laboratory results, and imaging records. 4. Willingness to provide consent for participation in the study and the use of historical health data for analysis. Exclusion Criteria: 1. Women under 18 or over 45 years old. 2. Participants with insufficient follow-up data or missing critical clinical information required for predictive modeling.
Where it's running
-
Guangzhou Women and Children's Medical Center
Guangzhou, Guangdong, China Recruiting -
First Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China Recruiting -
Second Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China Recruiting
Study contacts
- Study coordinator: Fei Liu, MD
- Email: liufei_2359@163.com
- Phone: +86 13810512704
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.