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
{"title":"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。","authors":"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","doi":"10.1038/s44259-025-00084-5","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":520007,"journal":{"name":"npj antimicrobials and resistance","volume":"3 1","pages":"14"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11868396/pdf/","citationCount":"0","resultStr":"{\"title\":\"Advantages and limitations of large language models for antibiotic prescribing and antimicrobial stewardship.\",\"authors\":\"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\",\"doi\":\"10.1038/s44259-025-00084-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":520007,\"journal\":{\"name\":\"npj antimicrobials and resistance\",\"volume\":\"3 1\",\"pages\":\"14\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-02-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11868396/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"npj antimicrobials and resistance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1038/s44259-025-00084-5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj antimicrobials and resistance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s44259-025-00084-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.