National Medical Center

Basics of Deep Learning: A Radiologist's Guide to Understanding Published Radiology Articles on Deep Learning

Synho Do, Kyoung Doo Song, Joo Won Chung

2019 · 111 Zit.

Development of explainable artificial intelligence based machine learning model for predicting 30-day hospital readmission after renal transplantation

Nasser Alnazari, Omar Ibrahim Alanazi, Muath Alosaimi et al.

2025 · 7 Zit.

Automatic Segmentation and Radiologic Measurement of Distal Radius Fractures Using Deep Learning

S. Lee, Kwang Gi Kim, Young Jae Kim et al.

2024 · 7 Zit.

Artificial intelligence-powered chest computed tomography analysis unveils prognostic insights for COVID-19 mortality among prevalent hemodialysis patients

Eunji Kim, Soo-Jin Yoon, Sungbong Yu et al.

2024 · 0 Zit.

Comparison of large language models and conventional machine learning in postoperative outcome prediction: a retrospective, multi-national development and validation study

Jipyeong Lee, H.-C. Kim, Luke Kim et al.

2026 · 0 Zit.

Clinically guided self-refining large language model for automated code stroke activation decision support in the emergency department

JiHan Heo, Gil Joon Suh, Han-Yeong Jeong et al.

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.