Publications by authors named "Kyulee Jeon"
Article Synopsis
- AI has advanced significantly in radiology but faces challenges like the need for high-quality, standardized data for development and validation.* -
- The OMOP Common Data Model promotes international collaboration by ensuring data interoperability and privacy, while the new Medical Imaging Common Data Model focuses on integrating medical imaging data with clinical information.* -
- Standardizing and integrating medical imaging data on a global scale will enhance AI research, enable federated learning, support diverse patient inclusion, and improve the reliability of AI systems in clinical settings.*
The rapid growth of artificial intelligence (AI) and deep learning techniques require access to large inter-institutional cohorts of data to enable the development of robust models, e.g., targeting the identification of disease biomarkers and quantifying disease progression and treatment efficacy.
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