Artificial intelligence for improving decision-making in bacterial infection management: a narrative review

There is a need to shift CDSS development towards a more adaptive and holistic approach that recognizes the continuous nature of the decision-making process in infection management. Comprehensive AI-powered platforms that can model infection dynamics could improve antibiotic stewardship and help tackle the global health emergency of antimicrobial resistance.

Institutions

Publication Details

Journal
Journal of Antimicrobial Chemotherapy
Published
2025-12-09
DOI
https://doi.org/10.1093/jac/dkaf470
Citations
2
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
2.64
Controls
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article

Artificial intelligence for improving decision-making in bacterial infection management: a narrative review

2 citations
Journal of Antimicrobial Chemotherapy
Bacterial Identification and Susceptibility Testing
2.64
article

Artificial intelligence for improving decision-making in bacterial infection management: a narrative review

article en
2 citations

Abstract

There is a need to shift CDSS development towards a more adaptive and holistic approach that recognizes the continuous nature of the decision-making process in infection management. Comprehensive AI-powered platforms that can model infection dynamics could improve antibiotic stewardship and help tackle the global health emergency of antimicrobial resistance.

Journal of Antimicrobial ChemotherapyVol. 81(1)
University of Liverpool (GB), Imperial College Healthcare NHS Trust (GB), Imperial College London (GB)
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Bacterial Identification and Susceptibility Testing
2.64
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