Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-25 @ 2:44 AM
Ignite Modification Date:
2025-12-25 @ 2:44 AM
NCT ID:
NCT06783933
Brief Summary:
This study aims to investigate whether an AI-assisted decision support can improve the diagnosis of congenital heart diseases on Chest X-ray.
Detailed 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.
Study:
NCT06783933
Study Brief:
Protocol Section:
NCT06783933