GPT-4-based AI agents-the new expert system for detection of antimicrobial resistance mechanisms?

ABSTRACT: The European Committee on Antimicrobial Susceptibility Testing (EUCAST) recommends two steps for detecting beta-lactamases in Gram-negative bacteria. Screening for potential extended-spectrum beta-lactamase (ESBL), plasmid-mediated AmpC beta-lactamase, or carbapenemase production is confirmed. We aimed to validate generative pre-trained transformer (GPT)-4 and GPT-agent for pre-classification of disk diffusion to indicate potential beta-lactamases. We assigned 225 Gram-negative isolates based on phenotypic resistances against beta-lactam antibiotics and additional tests to one or more resistance mechanisms as follows: "none," "ESBL," "AmpC," or "carbapenemase." Next, we customized a GPT-agent with EUCAST guidelines and breakpoint table (v13.1). We compared routine diagnostics (reference) t

SUBMITTER: Giske CG 

PROVIDER: S-EPMC11559085 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature