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This study aims to investigate whether an AI-assisted decision support can improve the diagnosis of congenital heart diseases on Chest X-ray.
Full description
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.
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60,000 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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