用于抗生素处方和抗菌药物管理的大型语言模型的优点和局限性。

Daniele Roberto Giacobbe, Cristina Marelli, Bianca La Manna, Donatella Padua, Alberto Malva, Sabrina Guastavino, Alessio Signori, Sara Mora, Nicola Rosso, Cristina Campi, Michele Piana, Ylenia Murgia, Mauro Giacomini, Matteo Bassetti
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引用次数: 0

摘要

开具抗生素处方需要在为患者提供最佳治疗与减少抗菌药耐药性之间取得平衡。使用大型语言模型(LLMs)支持抗生素处方的研究缺乏标准化,因此有必要加大力度识别其输出结果中的偏差和错误信息。对未来的医学专业人员进行这些方面的教育,对于确保正确使用大语言模型支持抗生素处方、深入了解大语言模型的优势和局限性至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advantages and limitations of large language models for antibiotic prescribing and antimicrobial stewardship.

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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