Evaluating the clinical utility of large language models for hepatocellular carcinoma treatment recommendations: A nationwide retrospective registry study
Concordance between LLM-generated and physician treatment decisions was associated with improved survival in early-stage HCC, whereas this association was not observed in advanced-stage disease. While LLMs may serve as adjunctive tools for guideline-concordant decisions in straightforward scenarios, their recommendations may reflect limited contextual awareness in complex clinical situations requiring individualized care. LLM recommendations should be interpreted cautiously alongside clinical judgment.
Authors
- Keungmo Yang (ORCID: https://orcid.org/0009-0005-0922-6588)
- Ji Won Han
- Pil Soo Sung
- Jeong Won Jang
- Jaejun Lee
Institutions
- Catholic University of Korea (KR)
Publication Details
- Journal
- PLoS Medicine
- Published
- 2026-01-13
- DOI
- https://doi.org/10.1371/journal.pmed.1004855
- Citations
- 2
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 46.77
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea