Sangjoon Park
Clinical Assistant Professor
About Me
Welcome to the Intelligence in Radiation Oncology (INT-RO) Lab, led by Prof. Sangjoon Park in Radiation Oncology Dept. @ Yonsei University College of Medicine!
At INT-RO Lab, we harness cutting-edge AI to advance oncology. Our mission is to bridge state-of-the-art artificial intelligence with real-world clinical practice, developing innovative solutions that enhance treatment precision, refine prognostication, and ultimately improve patient outcome.
We’re excited to shape the future of “intelligent oncology” together! 😊
Interests
- Radiation Oncology
- Artificial Intelligence
- Large Language Models
- Foundation Models
- Multi-modal Models
- Federated learning
Education
M.D. Medicine
Yonsei University College of Medicine
M.S. Radiation Oncology
Yonsei University Graduate School of Medicine
Ph.D. Bio and Brain Engineering
Korea Advanced Institute of Science and Technology (KAIST)
📚 Contact
Students and researchers interested in my research are welcome to send their CV to 👉depecher@yuhs.ac
Featured Publications
Recent Publications
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Metastasis-Directed Radiotherapy for Oligometastatic Cervical Carcinoma: Identifying Potential Beneficiaries.Clin Transl Radiat Oncol.(2026)
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Postoperative Conventional versus Hypofractionated Intensity-Modulated Radiation Therapy with Concurrent Chemotherapy in Cervical Cancer: A Prospective Multicenter Randomized Phase III Trial (POHIM_P3 Trial).J Gynecol Oncol.(2026)
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Susceptibility of Large Language Models to User-Driven Factors in Medical Queries.J Healthc Inform Res.(2025)
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Validating Clinical Feasibility of MRCAT and Deep Learning-Based Synthetic CT Images for Cervical Cancer Patient.J Appl Clin Med Phys.(2025)
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Improving Mortality Prediction after Radiotherapy with Large Language Model Structuring of Large-Scale Unstructured Electronic Health Records.Radiotherapy and Oncology.(2025)
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Label-independent framework for objective evaluation of cosmetic outcome in breast cancer.AI in Medicine, 103179.(2025)
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End-to-End Breast Cancer Radiotherapy Planning via LMMs with Consistency Embedding.Medical Image Analysis.(2025)