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.

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

Giacobbe, Daniele Roberto;Marelli, Cristina;La Manna, Bianca;Guastavino, Sabrina;Signori, Alessio;Mora, Sara;Campi, Cristina;Piana, Michele;Murgia, Ylenia;Giacomini, Mauro;Bassetti, Matteo
2025-01-01

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1282445
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