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.File in questo prodotto:
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