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BMC Medical Ethics|October 15, 2025
The ethics of simplification: balancing patient autonomy, comprehension, and accuracy in AI-generated radiology reportsHong-Seon Lee, Seung-Hyun Song, Chaeri Park, et al.
AJR. American Journal of Roentgenology|February 12, 2025
Artificial Intelligence Model for Detection of Colorectal Cancer on Routine Abdominopelvic CT Examinations: A Training and External-Testing StudySeung-Seob Kim, Hyunseok Seo, Kihwan Choi, et al.
La Radiologia Medica|September 30, 2025
Readability versus accuracy in LLM-transformed radiology reports: stakeholder preferences across reading grade levelsHong-Seon Lee, Sungjun Kim, Songsoo Kim, et al.
The Lancet. Digital Health|December 18, 2020
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader studyHyo-Eun Kim, Hak Hee Kim, Boo-Kyung Han, et al.
Radiology|July 20, 2021
Coronary CT Angiography CAD-RADS versus Coronary Artery Calcium Score in Patients with Acute Chest PainJi Won Lee, Jin Young Kim, Kyunghwa Han, et al.
European Radiology|February 13, 2020
Hepatic subcapsular or capsular flow in biliary atresia: is it useful imaging feature after the Kasai operation?Suji Lee, Myung-Joon Kim, Mi-Jung Lee, et al.
Journal of Neuroradiology = Journal De Neuroradiologie|November 12, 2022
Fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasisBio Joo, Sung Soo Ahn, Chansik An, et al.
European Radiology|November 24, 2016
Altered intrinsic brain activity after chemotherapy in patients with gastric cancer: A preliminary studyHyun Gi Kim, Na-Young Shin, Yunjin Bak, et al.
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