Fine‐tuning open‐source large language models to improve their performance on radiation oncology tasks: A feasibility study to investigate their potential clinical applications in radiation oncology
/ Authors
Peilong Wang, Zheng Liu, Yiwei Li, J. Holmes, Peng Shu, Lian-Cheng Zhang, Xiang Li, Quanzheng Li, Brady S. Laughlin, D. S. Toesca
and 5 more authors
S. Vora, Samir H. Patel, Terence T. Sio, Tianming Liu, Wei Liu
/ Abstract
The radiation oncology clinical practice involves many steps relying on the dynamic interplay of abundant text data. Large language models have displayed remarkable capabilities in processing complex text information. But their direct applications in specific fields like radiation oncology remain underexplored.
Journal: Medical Physics
DOI: 10.1002/mp.17985