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Artificial Intelligence model to predict resistances in Gram-negative bloodstream infections

29 May 2025

Abstract excerpt

Artificial intelligence (AI) models are promising tools for predicting antimicrobial susceptibility in gram-negative bloodstream infections (GN-BSI). Single-center study on hospitalized patients with GN-BSI, over 7-year period, aimed to predict resistance to fluoroquinolones (FQ-R), third generation cephalosporins (3GC-R), beta-lactam/beta-lactamase inhibitors (BL/BLI-R) and carbapenems (C-R) was performed....

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PMID: 40442363
DOI: 10.1038/s41746-025-01696-x

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