Evaluating large language models for automated TNM staging from PET-CT reports: a multi-cancer comparative study
Among the three LLMs, ChatGPT 5 demonstrated the highest accuracy, stability, and efficiency in automated TNM staging from PET-CT reports, achieving performance comparable to or slightly exceeding junior radiologists. Its advantages in T staging and lung cancer evaluation highlight its clinical utility as a potential decision-support tool.
Authors
- Qijun Shen (ORCID: https://orcid.org/0000-0001-6765-0444)
- Wen Xu (ORCID: https://orcid.org/0000-0002-1308-9732)
- Shushu Pan
- Lixiu Cao
- Mei Ruan
- Yanna Shan
Institutions
- Tangshan People's Hospital (CN)
- Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2026-03-04
- DOI
- https://doi.org/10.3389/fdgth.2026.1741973
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Medical Science and Technology Project of Zhejiang Province
- Science and Technology Program of Zhejiang Province