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 Type
OBSERVATIONAL
Enrollment
10,000
Beijing Anzhen Hospital affiliated to Capital Medical University
Beijing, Beijing Municipality, China
Diagnostic efficiency of AI model for fetal CHD
Time frame: From enrollment to diagnostic verification, the evaluation period should not exceed 12 month.
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