Chungnam National University Hospital

Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology

Sang Joon Park, Eun Sun Lee, Kyung Sook Shin et al.

2023 · 18 Zit.

Machine learning to predict distal caries in mandibular second molars associated with impacted third molars

Sung-Hwi Hur, Eun-Young Lee, Min-Kyung Kim et al.

2021 · 17 Zit.

Machine‐learning algorithm that can improve the diagnostic accuracy of septic arthritis of the knee

Eun-Seok Choi, Jae Ang Sim, Young Gon Na et al.

2021 · 13 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.

Assessing the Suitability of Artificial Intelligence-Based Chatbots as Counseling Agents for Patients with Brain Tumor: A Comprehensive Survey Analysis

Young Il Kim, Kyung Hwan Kim, Hyuk-Jin Oh et al.

2024 · 1 Zit.

The Role and Focus Areas of Medical Technologists in the Field of Diagnostic Tests in the COVID-19 Era

Byoung Seon Yang, Se Mook Choi, Hyung Joon Bae et al.

2022 · 1 Zit.

Automated Resectability Classification of Pancreatic Cancer CT Reports with Privacy-Preserving Open-Weight Large Language Models: A Multicenter Study

Jeong Hyun Lee, Ji Hye Min, Kyowon Gu et al.

2025 · 1 Zit.

Systematic construction of composite radiation therapy dataset using automated data pipeline for prognosis prediction

June Hyuck Lim, Seonhwa Kim, Jun Hyeong Park 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.