A head-to-head comparison of the accuracy of commercially available large language models for infection prevention and control inquiries, 2024

Infect Control Hosp Epidemiol. 2024 Dec 12:1-3. doi: 10.1017/ice.2024.205. Online ahead of print.

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.