A Multicenter Study of Artificial Intelligence Model for Fetal Congenital Heart Disease

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexFemale
AgeNot listed
SponsorBeijing Anzhen Hospital

About this trial

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.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

Single or multiple pregnancy;

Gestational age 16-40 weeks;

Fetal echocardiographic images are clear and complete;

Clinical data are complete and detailed;

Disqualifiers

Fetal echocardiographic images are incomplete or of poor quality that cannot be used for research;

Refusal or loss of follow-up

Trial 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.

Trial design

Design model

Other

Time perspective

Prospective

Treatments tested in this trial

Not listed

Trial groups

No trial groups listed

Trial outcomes

Primary outcomes

1

Diagnostic efficiency of AI model for fetal CHD

Time frame
From enrollment to diagnostic verification, the evaluation period should not exceed 12 month.

Secondary outcomes

Other outcomes

Sponsors and contacts

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This trial is not recruiting at the moment. You can still explore other options: