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A head-to-head comparison of the accuracy of commercially available large language models for infection prevention and control inquiries, 2024.
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 Abosi, O. J., Kobayashi, T., Ross, N., Trannel, A., Rodriguez Nava, G., Salinas, J. L., Brust, K. 2024: 1-3Abstract
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.
View details for DOI 10.1017/ice.2024.205
View details for PubMedID 39664019