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Clinical Imaging|June 25, 2025
Evaluating ChatGPT's performance across radiology subspecialties: A meta-analysis of board-style examination accuracy and variabilityDan Nguyen, Grace Hyun J Kim, Arash Bedayat
Respiratory Research|February 6, 2024
Interstitial lung abnormality evaluated by an automated quantification system: prevalence and progression rateJu Hyun Oh, Grace Hyun J Kim, Jin Woo Song
Contemporary Clinical Trials|March 23, 2021
A study design for statistical learning technique to predict radiological progression with an application of idiopathic pulmonary fibrosis using chest CT imagesGrace Hyun J Kim, Yu Shi, Wenxi Yu, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|March 11, 2024
MGA-NET: MULTI-SCALE GUIDED ATTENTION MODELS FOR AN AUTOMATED DIAGNOSIS OF IDIOPATHIC PULMONARY FIBROSIS (IPF)Wenxi Yu, Hua Zhou, Youngwon Choi, et al.
CPT: Pharmacometrics & Systems Pharmacology|September 25, 2021
Metaheuristics for pharmacometricsSeongho Kim, Andrew C Hooker, Yu Shi, et al.
Medical Physics|February 6, 2021
End-to-end domain knowledge-assisted automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using computed tomography (CT)Wenxi Yu, Hua Zhou, Jonathan G Goldin, et al.
Therapeutic Advances in Respiratory Disease|March 30, 2021
The value of imaging and clinical outcomes in a phase II clinical trial of a lysophosphatidic acid receptor antagonist in idiopathic pulmonary fibrosisGrace Hyun J Kim, Jonathan G Goldin, Wendy Hayes, et al.
Artificial Intelligence in Medicine|October 15, 2019
Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approachYu Shi, Weng Kee Wong, Jonathan G Goldin, et al.
Academic Radiology|September 17, 2025
Revisiting LLMs and Lung Cancer Questions: How AI Responds to Common Lung Cancer Questions Two Years LaterDan Nguyen, Amir A Rahsepar, Hamid Chalian, et al.
Radiology|June 13, 2023
How AI Responds to Common Lung Cancer Questions: ChatGPT vs Google BardAmir Ali Rahsepar, Neda Tavakoli, Grace Hyun J Kim, et al.
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