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Early Diagnosis and Prediction of Maternal and Neonatal Diseases:
Sponsor: The Eye Hospital of Wenzhou Medical University
Summary
This is a multi-center, clinical study designed to evaluate the application and effectiveness of an AI-assisted predictive model for identifying maternal and neonatal diseases, leveraging multimodal health data.
Official title: Early Prediction and Diagnosis of Maternal and Neonatal Diseases Using Multimodal Health Data
Key Details
Gender
All
Age Range
18 Years - 45 Years
Study Type
OBSERVATIONAL
Enrollment
1000000
Start Date
2023-08-01
Completion Date
2025-05
Last Updated
2025-04-17
Healthy Volunteers
Yes
Conditions
Interventions
AI-Based Diagnostic and Prognostic Model
This intervention involves an AI system that integrates multimodal data, including maternal health records, laboratory test results, and imaging data, to predict the risk of maternal and neonatal diseases. The system uses deep learning algorithms to provide real-time, accurate predictions, enabling early identification of health complications. By analyzing historical health data, the model aims to predict potential risks for both mothers and infants, improving early intervention and outcomes.
Locations (3)
Guangzhou Women and Children's Medical Center
Guangzhou, Guangdong, China
First Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China
Second Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China