Traditional Cox regression outperforms large language models in predicting long-term progression of intermediate to advanced hepatocellular carcinoma
The combination of ablation and/or ICIs with standard treatment could prolong PFS. In predicting the long-term HCC progression risk, the traditional Cox model exceeded the LLMs. Their combination may merge structured modeling stability with the multi-source data processing capacity of LLMs, potentially improving prediction accuracy.
Authors
- Y. H. Zhang
- Yiqi Xiong
- YuBin Zhang
- Caixia Hu
- Ang Li (ORCID: https://orcid.org/0000-0002-2721-1452)
- Kang Li
- Dandan Guo (ORCID: https://orcid.org/0009-0008-0578-1551)
- Yi Song (ORCID: https://orcid.org/0000-0003-2334-4896)
- Danlei Mou
- Chen Wang
- Tingting Mei
Institutions
- Dalian Medical University (CN)
- Beijing YouAn Hospital (CN)
- Beijing Friendship Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-01-29
- DOI
- https://doi.org/10.3389/fonc.2026.1710529
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China