Leveraging Large Language Models for Cancer Variant Classification: A Comparative Study of GPT-4o, LLaMA 3, and Qwen 2.5

Kuan-Hsun Lin, Paul Chih-Hsueh Chen, Chen-Tsung Kuo, Yuan-Chia Chu, Yi-Chen Yeh. Leveraging Large Language Models for Cancer Variant Classification: A Comparative Study of GPT-4o, LLaMA 3, and Qwen 2.5. In Mowafa S. Househ, Zain Ul Abideen Tariq, Mahmood Al-Zubaidi, Uzair Shah, Elaine Huesing, editors, MEDINFO 2025 - Healthcare Smart × Medicine Deep - Proceedings of the 20th World Congress on Medical and Health Informatics, Taipei, Taiwan, 9-13 August 2025. Volume 329 of Studies in Health Technology and Informatics, pages 1728-1729, IOS Press, 2025. [doi]

@inproceedings{LinCKCY25,
  title = {Leveraging Large Language Models for Cancer Variant Classification: A Comparative Study of GPT-4o, LLaMA 3, and Qwen 2.5},
  author = {Kuan-Hsun Lin and Paul Chih-Hsueh Chen and Chen-Tsung Kuo and Yuan-Chia Chu and Yi-Chen Yeh},
  year = {2025},
  doi = {10.3233/SHTI251185},
  url = {https://doi.org/10.3233/SHTI251185},
  researchr = {https://researchr.org/publication/LinCKCY25},
  cites = {0},
  citedby = {0},
  pages = {1728-1729},
  booktitle = {MEDINFO 2025 - Healthcare Smart × Medicine Deep - Proceedings of the 20th World Congress on Medical and Health Informatics, Taipei, Taiwan, 9-13 August 2025},
  editor = {Mowafa S. Househ and Zain Ul Abideen Tariq and Mahmood Al-Zubaidi and Uzair Shah and Elaine Huesing},
  volume = {329},
  series = {Studies in Health Technology and Informatics},
  publisher = {IOS Press},
  isbn = {978-1-64368-608-0},
}