Eun Kyung Choi

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About

Eun Kyung Choi is a researcher in medical physics and radiation oncology, with a focus on advanced techniques for respiratory motion management in cancer treatment. Her work centers on integrating artificial intelligence with robotic systems to enhance the precision of radiotherapy delivery. In her most cited paper, "Geometric and dosimetric verification of a recurrent neural network algorithm to compensate for respiratory motion using an articulated robotic couch" (2020), she pioneered a method that uses a recurrent neural network to predict and correct for tumor movement caused by breathing, validated through geometric and dosimetric analyses. This contribution addresses a critical challenge in thoracic and abdominal radiotherapy—minimizing radiation exposure to healthy tissues while maximizing tumor targeting. With 10 citations, this work demonstrates her ability to bridge computational modeling and clinical application, offering a pathway toward more adaptive and accurate treatment delivery. Choi’s research stands out for its innovative use of AI-driven motion compensation, positioning her as a key contributor to the evolution of real-time adaptive radiotherapy. Her achievements highlight the potential of interdisciplinary approaches in improving patient outcomes in radiation oncology.