Cornelius Jakob, Knitza Johannes, Hack Juliana, Pavlovic Melina, Kuhn Sebastian
Zentrum für Orthopädie und Unfallchirurgie, Universitätsklinikum Gießen und Marburg, Standort Marburg, Philipps-Universität Marburg, Baldingerstraße, 35043, Marburg, Deutschland.
Institut für Digitale Medizin, Universitätsklinikum Marburg, Philipps-Universität Marburg, Marburg, Deutschland.
Unfallchirurgie (Heidelb). 2025 May 12. doi: 10.1007/s00113-025-01581-y.
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.
将大语言模型（LLM）整合到创伤外科患者的护理中，提供了一个令人兴奋的机会，具有提高护理效率和质量的巨大潜力。大语言模型可以通过高效提供医学知识和生成个性化治疗建议，作为诊断、决策和患者沟通的支持工具；然而，也有一些重大挑战必须加以解决。大语言模型决策过程缺乏透明度以及目前尚未解决的法律和伦理问题，需要医学专业人员仔细实施和审查，以确保这些技术的安全性和有效性。
