Jakob Cornelius, Johannes Knitza, Juliana Hack, Melina Pavlovic, Sebastian Kuhn
{"title":"[Potential applications of large language models in trauma surgery : Opportunities, risks and perspectives].","authors":"Jakob Cornelius, Johannes Knitza, Juliana Hack, Melina Pavlovic, Sebastian Kuhn","doi":"10.1007/s00113-025-01581-y","DOIUrl":null,"url":null,"abstract":"<p><p>The integration of large language models (LLM) into the care of trauma surgery patients offers an exciting opportunity with immense potential to enhance the efficiency and quality of care. The LLM can serve as supportive tools for diagnosis, decision making and patient communication by efficiently providing medical knowledge and generating personalized treatment recommendations; however, there are also substantial challenges that must be addressed. The lack of transparency in the decision-making processes of LLM as well as currently unresolved legal and ethical issues, necessitate careful implementation and examination by medical professionals to ensure the safety and effectiveness of these technologies.</p>","PeriodicalId":75280,"journal":{"name":"Unfallchirurgie (Heidelberg, Germany)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Unfallchirurgie (Heidelberg, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00113-025-01581-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The integration of large language models (LLM) into the care of trauma surgery patients offers an exciting opportunity with immense potential to enhance the efficiency and quality of care. The LLM can serve as supportive tools for diagnosis, decision making and patient communication by efficiently providing medical knowledge and generating personalized treatment recommendations; however, there are also substantial challenges that must be addressed. The lack of transparency in the decision-making processes of LLM as well as currently unresolved legal and ethical issues, necessitate careful implementation and examination by medical professionals to ensure the safety and effectiveness of these technologies.