Sonny Duong

About this event

Sunonny Dong presents several research projects focused on leveraging artificial intelligence to improve the management of pediatric congenital heart disease data. The first initiative utilizes large language models and retrieval augmented generation to extract structured clinical information and standardized diagnostic codes from free-text echocardiogram reports. A second project involves the development of a comprehensive view classifier that identifies anatomical angles in cardiac imaging, addressing the inherent complexity and ambiguity of pediatric cases. Additionally, the presentation covers the use of deep learning to automate precise coronary artery measurements for patients with Kawasaki disease. By integrating these tools, the research group aims to transform fragmented medical records into organized databases suitable for advanced clinical research. These innovations demonstrate how AI-driven pipelines can enhance diagnostic accuracy and facilitate data sharing across different healthcare centers.

Event video