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.

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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

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article

Evaluating the clinical utility of large language models for hepatocellular carcinoma treatment recommendations: A nationwide retrospective registry study

Keungmo Yang, Ji Won Han, Pil Soo Sung, Jeong Won Jang et al.
2 citations
PLoS Medicine
Hepatocellular Carcinoma Treatment and Prognosis
46.77
article

Evaluating the clinical utility of large language models for hepatocellular carcinoma treatment recommendations: A nationwide retrospective registry study

Keungmo Yang, Ji Won Han, Pil Soo Sung, Jeong Won Jang, Jaejun Lee
article en
2 citations

Abstract

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.

PLoS MedicineVol. 23(1)
Catholic University of Korea (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Peace, Justice and strong institutions
Openalex Percentile: Top 0%
Hepatocellular Carcinoma Treatment and Prognosis
46.77
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Evaluating the clinical utility of large language models for hepatocellular carcinoma treatment recommendations: A nationwide retrospective registry study — Keungmo Yang, Ji Won Han, et al. · PLoS Medicine (2026) | TGRS Research Map | TGRS