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
- University of Liverpool (GB)
- Imperial College Healthcare NHS Trust (GB)
- Imperial College London (GB)
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