LLM treatment advice agrees with physician recommendations in early-stage HCC, but falls short in late stage (IMAGE)

PLOS

LLM treatment advice agrees with physician recommendations in early-stage HCC, but falls short in late stage

Caption

A graphical overview of the study evaluating the clinical utility of large language models (LLMs) for hepatocellular carcinoma treatment. The study analyzed 13,614 patients to compare real-world physician decisions with recommendations from ChatGPT, Gemini, and Claude. The findings reveal that while LLM concordance is associated with improved survival in early-stage disease, it correlates with worse outcomes in advanced stages due to divergent clinical priorities.

Credit

Keungmo Yang and Ji Won Han, The Catholic University of Korea (CC-BY 4.0, https://creativecommons.org/licenses/by/4.0/)

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Credit must be given to the creator.

License

CC BY

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