CHA University Bundang Medical Center
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network
Jieun Koh, Eunjung Lee, Kyunghwa Han et al.
2020 · 59 Zit.
Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistance
Si Eun Lee, Hye Jung Kim, Hae Kyoung Jung et al.
2024 · 8 Zit.
Artificial Intelligence-Driven Drafting of Chest X-Ray Reports: 2025 Position Statement From the Korean Society of Thoracic Radiology Based on an Expert Survey
Won Gi Jeong, Eui Jin Hwang, Gong Yong Jin et al.
2025 · 2 Zit.
Clinical Analysis of Elderly Thyroid Cancer Patients Following Thyroidect
Keun Hee Lee, Hak Hoon Jun, Jong Woo Kim et al.
2016 · 1 Zit.
Breast Cancers Detected and Missed by AI-CAD: Results from the AI-STREAM Trial
Yun‐Woo Chang, Jung Kyu Ryu, Jin Kyung An et al.
2025 · 1 Zit.
Evenly Is Even Better? Digital Competitiveness and the Quality of Medical Research
Whan Shin
2022 · 0 Zit.
Abstract 078: A Study on the Healthcare Workforce and Care for Acute Stroke‐Results from the Survey of Hospitals
S. Sheen, J. Lee
2025 · 0 Zit.
Interpretable Multi-Label Classification for Tibiofibula Fracture 2D CT Images with Selective Attention and Data Augmentation
Chan Sik Han, Sun Woo Jeong, HyungWon Kim et al.
2024 · 0 Zit.
Beyond Computer-Aided Diagnosis: Artificial Intelligence as a “Digital Mentor” for POCUS Image Acquisition and Quality Assurance: A Narrative Review
Hyub Huh, Jeong Jun Park
2026 · 0 Zit.
Influence de la tomodensitométrie 2D ou 3D sur la reproductibilité inter et intraobservateur de la classification des fractures du pilon tibial et des recommandations de prise en charge
Seong‐Eun Byun, Wonchul Choi, Young Rak Choi et al.
2019 · 0 Zit.
Corrigendum: Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistance
Si Eun Lee, Hye Jung Kim, Dae Chul Jung et al.
2024 · 0 Zit.
K-MIMIC: a nationwide Korean multi-institutional Multimodal intensive care dataset
Young-Gon Kim, J. Shin, Sarah Won et al.
2026 · 0 Zit.
Artificial Intelligence and Social Media Utilization for Rural Patients with Acute Brain Conditions in Chuncheon, Gangwon-do, South Korea
Mu Seung Park, Seung-Ho Shin, Seongwoo Han et al.
2025 · 0 Zit.