Early Diagnosis and Prediction of Maternal and Neonatal Diseases:
Early Prediction and Diagnosis of Maternal and Neonatal Diseases Using Multimodal Health Data
The Eye Hospital of Wenzhou Medical University
1,000,000 participants
Aug 1, 2023
OBSERVATIONAL
Conditions
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.
Eligibility
Inclusion Criteria4
- Pregnant women aged 18 to 45 years.
- Women who have received prenatal care at participating centers (e.g., hospitals or clinics).
- Availability of comprehensive electronic health records, including prenatal care data, laboratory results, and imaging records.
- Willingness to provide consent for participation in the study and the use of historical health data for analysis.
Exclusion Criteria2
- Women under 18 or over 45 years old.
- Participants with insufficient follow-up data or missing critical clinical information required for predictive modeling.
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Interventions
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)
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NCT06791343