publications

2026

1. EMNLP

   MC-CXR: A Multi-Context Chest X-ray Benchmark for Context-Induced Disruption in Vision-Language Models

   Junhyeok Lee, Songsoo Kim^*, and Kyu Sung Choi

   In Findings of the Association for Computational Linguistics: EMNLP 2026, 2026

   arXiv Bib

   @inproceedings{lee2026mccxr,
     title = {{MC-CXR}: A Multi-Context Chest X-ray Benchmark for Context-Induced Disruption in Vision-Language Models},
     author = {Lee, Junhyeok and Kim, Songsoo and Choi, Kyu Sung},
     booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2026},
     year = {2026},
     publisher = {Association for Computational Linguistics},
   }

2. arXiv

   MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models

   Han Jang, Junhyeok Lee, Songsoo Kim, and 4 more authors

   arXiv preprint arXiv:2606.21194, 2026

   arXiv Bib

   @article{jang2026medlayxplain,
     title = {{MEDLAYXPLAIN}: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models},
     author = {Jang, Han and Lee, Junhyeok and Kim, Songsoo and Lim, Chae Young and Goh, Hyeonjin and Eum, Heeseong and Choi, Kyu Sung},
     journal = {arXiv preprint arXiv:2606.21194},
     year = {2026},
   }

3. JMIR MI

   Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation

   Songsoo Kim^*, Seungtae Lee, See Young Lee, and 4 more authors

   JMIR Medical Informatics, 2026

   Bib

   @article{kim2026improving,
     title = {Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation},
     author = {Kim, Songsoo and Lee, Seungtae and Lee, See Young and Kim, Joonho and Kan, Keechan and Lee, Hyunji and Yoon, Dukyong},
     journal = {JMIR Medical Informatics},
     volume = {14},
     number = {1},
     pages = {e87368},
     year = {2026},
     publisher = {JMIR Publications}
   }

4. arXiv

   CheXthought: A global multimodal dataset of clinical chain-of-thought reasoning and visual attention for chest X-ray interpretation

   Sonali Sharma, Jin Long, George Shih, and 8 more authors

   arXiv preprint arXiv:2604.26288, 2026

   arXiv Bib

   @article{sharma2026chexthought,
     title = {CheXthought: A global multimodal dataset of clinical chain-of-thought reasoning and visual attention for chest X-ray interpretation},
     author = {Sharma, Sonali and Long, Jin and Shih, George and Eid, Sarah and Bluethgen, Christian and Jacobson, Francine L. and Tsai, Emily B. and Alaa, Ahmed M. and Langlotz, Curtis P. and {Global Radiology Consortium} and others},
     journal = {arXiv preprint arXiv:2604.26288},
     year = {2026},
   }

5. arXiv

   Surrogate modeling for interpreting black-box LLMs in medical predictions

   Changho Han, Songsoo Kim^*, Dong Won Kim, and 4 more authors

   arXiv preprint arXiv:2604.20331, 2026

   arXiv Bib

   @article{han2026surrogate,
     title = {Surrogate modeling for interpreting black-box {LLMs} in medical predictions},
     author = {Han, Changho and Kim, Songsoo and Kim, Dong Won and Celi, Leo Anthony and Kim, Jaewoong and Bae, SungA and Yoon, Dukyong},
     journal = {arXiv preprint arXiv:2604.20331},
     year = {2026},
   }

6. BMC MIDM

   Electrocardiogram-based deep learning score for coronary artery calcification reclassifies cardiovascular risk and identifies screening candidates

   Changho Han, Seng Chan You, Hyung-Chul Lee, and 8 more authors

   BMC Medical Informatics and Decision Making, 2026

   Bib

   @article{han2026electrocardiogram,
     title = {Electrocardiogram-based deep learning score for coronary artery calcification reclassifies cardiovascular risk and identifies screening candidates},
     author = {Han, Changho and You, Seng Chan and Lee, Hyung-Chul and Park, Jin Young and Lim, Hong-Seok and Park, ChulHyoung and Pak, Hui-Nam and Kwon, Oh-Seok and Kim, Songsoo and Kim, Jung-Sun and others},
     journal = {BMC Medical Informatics and Decision Making},
     year = {2026},
     publisher = {Springer}
   }

2025

1. La Radiol. Med.

   Readability versus accuracy in LLM-transformed radiology reports: stakeholder preferences across reading grade levels

   Hong-Seon Lee, Sungjun Kim, Songsoo Kim, and 6 more authors

   La Radiologia Medica, 2025

   Bib

   @article{lee2025readability,
     title = {Readability versus accuracy in {LLM}-transformed radiology reports: stakeholder preferences across reading grade levels},
     author = {Lee, Hong-Seon and Kim, Sungjun and Kim, Songsoo and Seo, Jeongrok and Kim, Won Hwa and Kim, Jaeil and Han, Kyunghwa and Hwang, Shin Hye and Lee, Young Han},
     journal = {La Radiologia Medica},
     volume = {130},
     number = {12},
     pages = {1986--1999},
     year = {2025},
     publisher = {Springer Milan}
   }

2. HIR

   In-Context Learning with Large Language Models: A Simple and Effective Approach to Improve Radiology Report Labeling

   Songsoo Kim^*, Donghyun Kim, Jaewoong Kim, and 3 more authors

   Healthcare Informatics Research, 2025

   Bib

   @article{kim2025context,
     title = {In-Context Learning with Large Language Models: A Simple and Effective Approach to Improve Radiology Report Labeling},
     author = {Kim, Songsoo and Kim, Donghyun and Kim, Jaewoong and Koo, Jalim and Yoon, Jinsik and Yoon, Dukyong},
     journal = {Healthcare Informatics Research},
     volume = {31},
     number = {3},
     pages = {295--309},
     year = {2025},
     publisher = {Korean Society of Medical Informatics}
   }

3. Sci. Rep.

   Morphologic and functional alterations in the parasagittal dural space in mild cognitive impairment

   Bio Joo, Mina Park, Song Soo Kim, and 5 more authors

   Scientific Reports, 2025

   Bib

   @article{joo2025morphologic,
     title = {Morphologic and functional alterations in the parasagittal dural space in mild cognitive impairment},
     author = {Joo, Bio and Park, Mina and Kim, Song Soo and Ahn, Sung Jun and Kim, Han-Kyeol and Cho, Hanna and Lyoo, Chul Hyoung and Suh, Sang Hyun},
     journal = {Scientific Reports},
     volume = {15},
     number = {1},
     pages = {23882},
     year = {2025},
     publisher = {Nature Publishing Group}
   }

4. Radiology

   Large-scale validation of the feasibility of GPT-4 as a proofreading tool for head CT reports

   Songsoo Kim^*, Donghyun Kim, Hyun Joo Shin, and 8 more authors

   Radiology, 2025

   Bib

   @article{kim2025large,
     title = {Large-scale validation of the feasibility of {GPT-4} as a proofreading tool for head {CT} reports},
     author = {Kim, Songsoo and Kim, Donghyun and Shin, Hyun Joo and Lee, Seung Hyun and Kang, Yeseul and Jeong, Sejin and Kim, Jaewoong and Han, Miran and Lee, Seong-Joon and Kim, Joonho and others},
     journal = {Radiology},
     volume = {314},
     number = {1},
     pages = {e240701},
     year = {2025},
     publisher = {Radiological Society of North America}
   }

2024

1. JMIR

   Development and Validation of Deep Learning–Based Infectivity Prediction in Pulmonary Tuberculosis Through Chest Radiography: Retrospective Study

   Wou Young Chung, Jinsik Yoon, Dukyong Yoon, and 4 more authors

   Journal of Medical Internet Research, 2024

   Bib

   @article{chung2024development,
     title = {Development and Validation of Deep Learning--Based Infectivity Prediction in Pulmonary Tuberculosis Through Chest Radiography: Retrospective Study},
     author = {Chung, Wou Young and Yoon, Jinsik and Yoon, Dukyong and Kim, Songsoo and Kim, Yujeong and Park, Ji Eun and Kang, Young Ae},
     journal = {Journal of Medical Internet Research},
     volume = {26},
     pages = {e58413},
     year = {2024},
     publisher = {JMIR Publications}
   }

2. JMIR

   Redefining health care data interoperability: empirical exploration of large language models in information exchange

   Dukyong Yoon, Changho Han, Dong Won Kim, and 4 more authors

   Journal of Medical Internet Research, 2024

   Bib

   @article{yoon2024redefining,
     title = {Redefining health care data interoperability: empirical exploration of large language models in information exchange},
     author = {Yoon, Dukyong and Han, Changho and Kim, Dong Won and Kim, Songsoo and Bae, SungA and Ryu, Jee An and Choi, Yujin},
     journal = {Journal of Medical Internet Research},
     volume = {26},
     pages = {e56614},
     year = {2024},
     publisher = {JMIR Publications}
   }

3. iScience

   Evaluation of GPT-4 for 10-year cardiovascular risk prediction: insights from the UK Biobank and KoGES data

   Changho Han, Dong Won Kim, Songsoo Kim^*, and 4 more authors

   iScience, 2024

   Bib

   @article{han2024evaluation,
     title = {Evaluation of {GPT-4} for 10-year cardiovascular risk prediction: insights from the {UK} Biobank and {KoGES} data},
     author = {Han, Changho and Kim, Dong Won and Kim, Songsoo and You, Seng Chan and Park, Jin Young and Bae, SungA and Yoon, Dukyong},
     journal = {iScience},
     volume = {27},
     number = {2},
     pages = {109022},
     year = {2024},
     publisher = {Elsevier}
   }

2023

1. Cancers

   Associated factors of spontaneous hemorrhage in brain metastases in patients with lung adenocarcinoma

   Song Soo Kim^*, Seoyoung Lee, Mina Park, and 3 more authors

   Cancers, 2023

   Bib

   @article{kim2023associated,
     title = {Associated factors of spontaneous hemorrhage in brain metastases in patients with lung adenocarcinoma},
     author = {Kim, Song Soo and Lee, Seoyoung and Park, Mina and Joo, Bio and Suh, Sang Hyun and Ahn, Sung Jun},
     journal = {Cancers},
     volume = {15},
     number = {3},
     pages = {619},
     year = {2023},
     publisher = {MDPI}
   }

2021

1. Medicine

   Clinico-radiological features of brain metastases from thyroid cancer

   Song Soo Kim^*, Seok-Mo Kim, Mina Park, and 2 more authors

   Medicine, 2021

   Bib

   @article{kim2021clinico,
     title = {Clinico-radiological features of brain metastases from thyroid cancer},
     author = {Kim, Song Soo and Kim, Seok-Mo and Park, Mina and Suh, Sang Hyun and Ahn, Sung Jun},
     journal = {Medicine},
     volume = {100},
     number = {48},
     pages = {e28069},
     year = {2021},
     publisher = {LWW}
   }