Can we rely on artificial intelligence to guide antimicrobial therapy? A systematic literature review
AI, particularly machine learning integrated into CDSS, holds promise in enhancing clinical decision-making and improving antimicrobial management. However, large language models currently lack the reliability required for complex clinical applications. The indispensable role of infectious disease specialists remains critical for ensuring accurate, personalized, and safe treatment strategies. Rigorous validation and regular updates are essential before the successful integration of AI into clinical practice.
Authors
- Guillermo Rodríguez-Nava (ORCID: https://orcid.org/0000-0001-9826-7050)
- Takaaki Kobayashi (ORCID: https://orcid.org/0000-0003-4751-6859)
- Jorge Salinas (ORCID: https://orcid.org/0000-0002-9193-820X)
- Mindy Marie Sampson (ORCID: https://orcid.org/0000-0001-5724-5875)
- David Ha (ORCID: https://orcid.org/0000-0003-4912-5827)
- Sulwan Algain (ORCID: https://orcid.org/0009-0001-7116-9597)
- Alex Zimmet (ORCID: https://orcid.org/0000-0003-3337-0043)
- Boglarka S. Huddleston (ORCID: https://orcid.org/0000-0002-7843-5632)
- Mohammed Alsuhaibani (ORCID: https://orcid.org/0000-0003-3181-777X)
- Alexandre Rodrigues Marra (ORCID: https://orcid.org/0000-0002-7577-7688)
- Pedro S. Marra (ORCID: https://orcid.org/0000-0001-7171-2169)
- Mariana Kim Hsieh (ORCID: https://orcid.org/0000-0001-8709-5484)
- Samiyah Althagafi
- Daniel Fu (ORCID: https://orcid.org/0000-0002-5714-5820)
- Jamila I Ranavaya
- Nicole A Boodhoo
- Nicholas O Meade
- Patricia Deffune Celeghini
- Mohammed Abdu Shatari
- Maria Alayed
Institutions
- University of Iowa (US)
- University of Kentucky (US)
- University of California, San Francisco (US)
- Hospital Israelita Albert Einstein (BR)
- King Faisal Specialist Hospital & Research Centre (SA)
- King Saud Medical City (SA)
- University of Iowa Hospitals and Clinics (US)
- University of Chicago (US)
- King Abdul Aziz University Hospital (SA)
- Stanford University (US)
Publication Details
- Journal
- Antimicrobial Stewardship & Healthcare Epidemiology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1017/ash.2025.47
- Citations
- 13
- Primary Topic
- Antibiotic Use and Resistance
- Type
- article
- Field-Weighted Citation Impact
- 16.40