So-Soon Kim
Kyung Hee University · Medicine
About the Lab
Professor So-Soon Kim's research lab specializes in medical artificial intelligence, with a primary focus on developing deep learning algorithms for automated detection of diseases in medical imaging. The lab's main research directions include the development and validation of AI systems for chest radiograph analysis, particularly for early detection of active pulmonary tuberculosis, and improving diagnostic accuracy through collaboration with radiologists across international centers. The lab emphasizes real-world clinical applicability, integrating AI tools into multicenter, multinational datasets to ensure robustness and generalizability. Their work bridges radiology and AI to enhance screening efficiency and diagnostic performance in global health settings.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
1BACKGROUND: Detection of active pulmonary tuberculosis on chest radiographs (CRs) is critical for the diagnosis and screening of tuberculosis. An automated system may help streamline the tuberculosis screening process and improve diagnostic performance. METHODS: We developed a deep learning-based automatic detection (DLAD) algorithm using 54c221 normal CRs and 6768 CRs with active pulmonary tuberculosis that were labeled and annotated by 13 board-certified radiologists. The performance of DLAD w
Research Areas
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