This study aims to investigate whether an AI-assisted decision support can improve the diagnosis of congenital heart diseases on Chest X-ray.
Congenital heart disease (CHD) is a structural abnormality of the heart and/or great vessels and the frequency of CHD is nearly 1% in general population. In clinical practice, Chest X-ray is an important routine method for detection of CHD. However, its learning curve is high. Based on Chest X-ray, Artificial intelligence (AI) has the potential to improve the efficiency and accuracy of CHD. This study aims to investigate whether an AI-assisted decision support can improve the diagnosis of congenital heart diseases on Chest X-ray. This study will enroll subjects with CHD, and the enrollment will be divided into two phases. Phase 1: Previous data of chest X-ray in patients with CHD. A minimum of 5000 patients is reached. Phase 2: Prospective inclusion of general patients with chest X-ray. A minimum of 50000 patients is reached.
Study Type
OBSERVATIONAL
Enrollment
60,000
surgical or interventional validation
Fuwai hospital
Beijing, Beijing Municipality, China
accuracy with AI-assisted diagnosis
Number of subjects with accuracy of CHD ; based on surgical validation or interventional validation.
Time frame: 12 months
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