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arXiv · 2509.19344

Performance of Large Language Models in Answering Critical Care Medicine Questions

Mahmoud Alwakeel·Aditya Nagori·An-Kwok Ian Wong·Neal Chaisson·Vijay Krishnamoorthy·Rishikesan Kamaleswaran
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Abstract

Large Language Models have been tested on medical student-level questions, but their performance in specialized fields like Critical Care Medicine (CCM) is less explored. This study evaluated Meta-Llama 3.1 models (8B and 70B parameters) on 871 CCM questions. Llama3.1:70B outperformed 8B by 30%, with 60% average accuracy. Performance varied across domains, highest in Research (68.4%) and lowest in Renal (47.9%), highlighting the need for broader future work to improve models across various subspecialty domains.

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Mahmoud Alwakeel, Aditya Nagori, An-Kwok Ian Wong, Neal Chaisson, Vijay Krishnamoorthy, Rishikesan Kamaleswaran. 2025-09-16. Performance of Large Language Models in Answering Critical Care Medicine Questions. https://arxiv.org/abs/2509.19344

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