Songsoo Kim, MD PhD
Postdoctoral Research Fellow | AI & Imaging Informatics
Hi! I’m Songsoo Kim, a radiologist and physician-scientist working at the intersection of medical-imaging AI and clinical translation. As AI opens up new methods and new questions for radiology, my goal is to leverage them to enhance the value of medical imaging — and, ultimately, to advance radiology practice and improve patient care.
I’m currently a postdoctoral research fellow at the Advanced Imaging and Computational Neuroimaging (AICON) Laboratory, Department of Radiology, Seoul National University Hospital, under supervision of Prof. Kyu Sung Choi. Our team brings together clinicians, engineers, and researchers to shape the future of radiology. Before joining SNUH, I completed my diagnostic radiology residency at Gangnam Severance Hospital and my PhD in Biomedical Systems Informatics at Yonsei University College of Medicine.
Outside of work, I stay active at the gym, take long walks around the city with my wife, and chase down good restaurants whenever I can. I also love good discussions that bring new perspectives together — whether over coffee, in conference hallways, or on calls across time zones. These are the moments I genuinely look forward to. If any of this resonates, feel free to reach out!
news
| Aug 2026 | Our paper was accepted to EMNLP 2026. It’s about how clinical context disrupts vision-language models reading chest X-rays. |
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| Jul 2026 | Two of our studies were accepted for presentation at RSNA 2026. One is about longitudinal brain metastasis analysis with agentic AI; the other, body and brain changes across the glycemic spectrum. |
| Jul 2026 | Appointed Associate Editor of the RSNA Radiology Early Career Editorial Board for 2026–2027. |
| Mar 2026 | Joined the AICON Lab at Seoul National University Hospital. |
| Feb 2026 | Completed my PhD in Biomedical Systems Informatics at Yonsei University College of Medicine. |
| Dec 2025 | Awarded the Trainee Research Prize in Imaging Informatics at RSNA 2025. It’s about opportunistic diabetes screening with AI-extracted whole-body MRI biomarkers. |
| Jan 2025 | Our paper was accepted to Radiology. It’s about validating LLM proofreading of radiology reports. |