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AAPM 2024 "Best in Physics": Large Language Model-Augmented Target Delineation in Radiation Therapy
July 6, 2024
Dr. Xianjin Dai, Clinical Assistant Professor
The work led by Drs. Xianjin Dai and Praveenbalaji Rajendran, focusing on leveraging large language models to extract features from clinical data, which are then incorporated into an auto-delineation method, has been awarded Best in Physics at the AAPM Annual Conference 2024. The manuscript has been accepted for publication in the Red Journal (International Journal of Radiation Oncology, Biology, Physics).