- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06796127
A Multicenter Study of Artificial Intelligence Model for Fetal Congenital Heart Disease
January 26, 2025 updated by: Beijing Anzhen Hospital
Beijing Anzhen Hospital
This study addresses congenital heart disease in fetuses, a specific birth defect, by collaborating with multicenter medical institutions across China.
It prospectively collects echocardiographic screening, diagnostic images, and structured parameter data from both normal and abnormal fetuses.
Cases are followed up, and artificial intelligence (AI) models are developed to extract fetal heart echocardiographic image features and analyze the data.
This process allows for the analysis of the AI models' accuracy, sensitivity, and specificity, and verifies the application value of AI models in fetal heart echocardiographic screening and diagnosis.
Study Overview
Status
Not yet recruiting
Study Type
Observational
Enrollment (Estimated)
10000
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Beijing
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Beijing, Beijing, China, 100010
- Beijing Anzhen Hospital Affiliated to Capital Medical University
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Yes
Sampling Method
Non-Probability Sample
Study Population
The study population was from 20 multi-center medical institutions in China, and pregnant women who underwent fetal echocardiography between 16 and 40 weeks of gestation.
Description
Inclusion Criteria:
- Single or multiple pregnancy;
- Gestational age 16-40 weeks;
- Fetal echocardiographic images are clear and complete;
- Clinical data are complete and detailed;
- Sign informed consent and be able to cooperate with follow-up
Exclusion Criteria:
- Fetal echocardiographic images are incomplete or of poor quality that cannot be used for research;
- Refusal or loss of follow-up
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Diagnostic efficiency of AI model for fetal CHD
Time Frame: From enrollment to diagnostic verification, the evaluation period should not exceed 12 month.
|
From enrollment to diagnostic verification, the evaluation period should not exceed 12 month.
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
February 1, 2025
Primary Completion (Estimated)
February 1, 2026
Study Completion (Estimated)
August 1, 2026
Study Registration Dates
First Submitted
January 20, 2025
First Submitted That Met QC Criteria
January 26, 2025
First Posted (Actual)
March 25, 2025
Study Record Updates
Last Update Posted (Actual)
March 25, 2025
Last Update Submitted That Met QC Criteria
January 26, 2025
Last Verified
January 1, 2025
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- FCHD-MCS-02
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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