Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2025 Feb 27;3(1):14.
doi: 10.1038/s44259-025-00084-5.

Advantages and limitations of large language models for antibiotic prescribing and antimicrobial stewardship

Affiliations
Review

Advantages and limitations of large language models for antibiotic prescribing and antimicrobial stewardship

Daniele Roberto Giacobbe et al. NPJ Antimicrob Resist. .

Abstract

Antibiotic prescribing requires balancing optimal treatment for patients with reducing antimicrobial resistance. There is a lack of standardization in research on using large language models (LLMs) for supporting antibiotic prescribing, necessitating more efforts to identify biases and misinformation in their outputs. Educating future medical professionals on these aspects is crucial for ensuring the proper use of LLMs for supporting antibiotic prescribing, providing a deeper understanding of their strengths and limitations.

PubMed Disclaimer

Conflict of interest statement

Competing interests: Outside the submitted work, Matteo Bassetti has received funding for scientific advisory boards, travel, and speaker honoraria from Cidara, Gilead, Menarini, MSD, Mundipharma, Pfizer, and Shionogi. Outside the submitted work, Daniele Roberto Giacobbe reports investigator-initiated grants from Pfizer, Shionogi, BioMérieux, Menarini, Tillotts Pharma, and Gilead Italia, travel support from Pfizer, and speaker/advisor fees from Pfizer, Menarini, BioMérieux, Advanz Pharma, and Tillotts Pharma. Alberto Malva was previously an employee of GlaxoSmithKline and is the founder of MedQuestio, an LLM-based support tool for Italian general practitioners. The other authors have no conflicts of interest to disclose.

References

    1. Omiye, J. A., Gui, H., Rezaei, S. J., Zou, J. & Daneshjou, R. Large language models in medicine: the potentials and pitfalls : a narrative review. Ann. Intern. Med.177, 210–220 (2024). - PubMed
    1. Nassiri, K. & Akhloufi, M. A. Recent advances in large language models for healthcare. BioMedInformatics4, 1097–1143 (2024).
    1. Clusmann, J. et al. The future landscape of large language models in medicine. Commun. Med. (Lond)3, 141 (2023). - PMC - PubMed
    1. Thirunavukarasu, A. J. et al. Large language models in medicine. Nat. Med.29, 1930–1940 (2023). - PubMed
    1. Shah, N. H., Entwistle, D. & Pfeffer, M. A. Creation and adoption of large language models in medicine. JAMA330, 866–869 (2023). - PubMed

LinkOut - more resources