Abstract
We investigated the accuracy and completeness of four large language model (LLM) artificial intelligence tools. Most LLMs provided acceptable answers to commonly asked infection prevention questions (accuracy 98.9%, completeness 94.6%). The use of LLMs to supplement infection prevention consults should be further explored.
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CITATION STYLE
Abosi, O. J., Kobayashi, T., Ross, N., Trannel, A., Rodriguez Nava, G., Salinas, J. L., & Brust, K. (2025). A head-To-head comparison of the accuracy of commercially available large language models for infection prevention and control inquiries, 2024. Infection Control and Hospital Epidemiology, 46(3), 309–311. https://doi.org/10.1017/ice.2024.205
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