Giacobbe Daniele Roberto, Marelli Cristina, La Manna Bianca, Padua Donatella, Malva Alberto, Guastavino Sabrina, Signori Alessio, Mora Sara, Rosso Nicola, Campi Cristina, Piana Michele, Murgia Ylenia, Giacomini Mauro, Bassetti Matteo
Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
UO Clinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
NPJ Antimicrob Resist. 2025 Feb 27;3(1):14. doi: 10.1038/s44259-025-00084-5.
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.
抗生素处方需要在为患者提供最佳治疗与降低抗菌药物耐药性之间取得平衡。在使用大语言模型（LLMs）支持抗生素处方的研究方面缺乏标准化，因此需要付出更多努力来识别其输出中的偏差和错误信息。就这些方面对未来医学专业人员进行教育，对于确保正确使用大语言模型支持抗生素处方、更深入了解其优势和局限性至关重要。
