大语言模型在临床医学领域的应用、挑战和展望

Applications, Challenges, and Prospects of Large Language Models in the Field of Clinical Medicine

  • 摘要: 大语言模型正以前所未有的方式与临床医学领域融合并改变临床诊疗的范式,其不仅在加速知识传播、优化临床决策、提升患者体验等方面发挥着重要作用,还为医疗系统的整体智能化升级提供了强大动力。本文对大语言模型在临床医学领域的典型应用进行了梳理,分析了大语言模型存在的问题与面临的挑战,并展望了大语言模型的发展趋势。通过讨论大语言模型的应用情况和未来前景,希望能够激励医务工作者和研究人员共同探索这一领域,把以大语言模型为代表的人工智能新技术应用于临床实践,提升医疗机构的工作效能和服务质量。

     

    Abstract: Large language models are integrating with the field of clinical medicine in unprecedented ways and changing the paradigm of medical diagnosis and treatment. Large language models play a significant role not only in accelerating the dissemination of knowledge, optimizing clinical decision-making, and enhancing the patient experiences, but also provide a powerful impetus for the overall intelligent upgrade of the healthcare system. In this article, the typical applications of large language models in the field of clinical medicine are reviewed, the existing problems and challenges of large language models are analyzed, and the development trends of large language models in the field of clinical medicine are prospected. By discussing the application and future prospects of large language models, we aim to inspire medical professionals and researchers to explore this field together, apply new artificial intelligence technologies represented by large language models to clinical practice, and thereby improve the work efficiency and service quality of medical institutions.

     

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