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Early Diagnosis and Prediction of Maternal and Neonatal Diseases:

NCT06791343 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000000

Last updated 2025-04-17

No results posted yet for this study

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.

Conditions

  • Pregnancy-Related and Neonatal Disorders

Interventions

DIAGNOSTIC_TEST

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.

Sponsors & Collaborators

  • The Eye Hospital of Wenzhou Medical University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
45 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-08-01
Primary Completion
2025-05-31
Completion
2025-05-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06791343 on ClinicalTrials.gov