Extracting antibiotic susceptibility from free-text microbiology reports using natural language processing.

ABSTRACT: There is a clinical need to appropriately apply large language model (LLM)-based systems for use in infectious diseases. We sought to use LLM and machine learning for extracting antibiotic susceptibility from clinical microbiology free-text reports, allowing use for outbreak detection, increasing information gathering efficiency, and public health reporting.

SUBMITTER: Chou A 

PROVIDER: S-EPMC12616221 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature