Multimodal large language models address clinical queries in laryngeal cancer surgery: a comparative evaluation of image interpretation across different models
Advanced MLLMs show promising potential as clinical decision support tools in laryngeal cancer surgery, while performance variations suggest the need for specialized model development and clinical workflow integration. Future research should focus on developing specialized MLLMs trained on large-scale multi-center laryngeal cancer datasets.
Authors
- Bingyu Liang (ORCID: https://orcid.org/0000-0001-9788-5826)
- Lei Zhang (ORCID: https://orcid.org/0000-0002-0580-0889)
- Qin Wang (ORCID: https://orcid.org/0000-0001-9852-5347)
- Taibao Wang
- Yifan Gao (ORCID: https://orcid.org/0009-0001-4239-3418)
Institutions
- University of Science and Technology of China (CN)
- Anhui Medical University (CN)
- Shanghai Innovative Research Center of Traditional Chinese Medicine (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1097/js9.0000000000002234
- Citations
- 6
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 11.09
Funders
- Anhui Provincial Department of Education