Su Ssan Kim
Papers
1
Total Citations
10
H-Index
1
About
Su Ssan Kim is a pioneering researcher in the field of medical physics and radiation oncology, with a primary focus on advanced motion management techniques for cancer treatment. Their most significant contribution lies in the development and validation of a recurrent neural network algorithm designed to compensate for respiratory motion during radiotherapy, using an articulated robotic couch. This work, published in 2020 and garnering 10 citations, addresses a critical challenge in precision radiation delivery: the real-time correction of tumor movement caused by breathing. By integrating machine learning with robotic motion compensation, Kim has advanced the accuracy of geometric and dosimetric verification, potentially reducing treatment margins and sparing healthy tissue. Their research bridges artificial intelligence and clinical physics, offering a novel solution for stereotactic body radiation therapy (SBRT) and other high-precision modalities. While still early in their career, Kim’s work has already been recognized for its innovative approach to motion management, laying the groundwork for safer, more effective cancer treatments. Their dedication to merging computational modeling with clinical dosimetry marks them as an emerging leader in the intersection of AI and radiation oncology.
Research Focus
Key Achievements
Top Papers
- 1