Area of research
Radiology, Nuclear Medicine and Imaging · Oncology
Research interest
Research interests include Hepatocellular Carcinoma Treatment and Prognosis, Radiomics and Machine Learning in Medical Imaging, Colorectal Cancer Surgical Treatments, and MRI in cancer diagnosis.
Metrics for Artificial Intelligence in Medicine: A Reference Resource.
ROADMAP: An Ontology of Medical AI Models and Datasets.
Large Language Models in Scientific Publishing: Policy Landscape for Authors, Reviewers, and Editors.
Radiology Research and Publishing Across 2025-2026: Perspectives From <i>KJR</i>.
Ensuring Sound Human-AI Collaboration through Uncertainty Indicators.
Uncover This Tech Term: Tumor Habitat Analysis.
<sup>68</sup>Ga-FAPI renal cortical uptake: a diagnostic and predictive biomarker for kidney disease in PET/CT imaging.
South Korea's Artificial Intelligence Framework Act: A Guide for Healthcare Professionals.
Revised Criterion for Identifying Small-Bowel Stricture in Crohn Disease at CT Enterography.
Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline.
Crucial Role of Understanding in Human-Artificial Intelligence Interaction for Successful Clinical Adoption.
Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM): 2025 Updates
Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM): 2025 Updates.
Comparison of clinical and MRI features of hepatic angiosarcoma and epithelioid hemangioendothelioma.
Overview of South Korean Guidelines for Approval of Large Language or Multimodal Models as Medical Devices: Key Features and Areas for Improvement.
Evaluation of Vision-Language Models for Detection and Deidentification of Medical Images with Burned-In Protected Health Information.
Academic Journal Podcast and Generative Artificial Intelligence: Introducing KJR SummaryCast.
Effects of clinical information on the treatment decisions for good responders to neoadjuvant chemoradiotherapy among rectal cancer patients.
Using a Vision-Language Model to Generate Visual Abstracts for Radiology Journals.
Reflections on 2024 and Perspectives for 2025 for <i>KJR</i>
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update.
Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM)
The Role of Imaging for GI Bleeding: ACG and SAR Consensus Recommendations
Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM).
CT Colonography Reporting and Data System (C-RADS): Version 2023 Update
The Role of Imaging for GI Bleeding: ACG and SAR Consensus Recommendations.
Reporting Guidelines for Artificial Intelligence Studies in Healthcare (for Both Conventional and Large Language Models): What's New in 2024.
CT Colonography Reporting and Data System (C-RADS): Version 2023 Update.
Conceptual review of outcome metrics and measures used in clinical evaluation of artificial intelligence in radiology.