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以ChatGPT为代表的大型语言模型在医学教学中的应用

Application of ChatGPT as a large-scale language model in medical teaching

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【作者】 王珍珍; 向巴卓玛; 赵岩松; 马星光;

【Author】 Wang Zhenzhen;Xiangbazhuoma;Zhao Yansong;Ma Xingguang;School of Management, Beijing University of Chinese Medicine;School of Chinese Medicine, Beijing University of Chinese Medicine;

【通讯作者】 马星光;

【机构】 北京中医药大学管理学院; 北京中医药大学中医学院;

【摘要】 随着人工智能技术的发展,大型语言模型在医学教学中的应用成为学者关注的热点,特别是ChatGPT,凭借其强大的自然语言理解和生成能力,在医学教学中发挥着多重作用。本文详细讨论了ChatGPT在医学教学中的应用,包括在线讨论交流、分析阅读文章、智能组阅卷和教学图像生成等多个方面,展示了其取得的显著效果。同时,也深入探讨了ChatGPT应用过程中面临的数据质量、模型幻觉、数据隐私安全、过度依赖和伦理道德等挑战,并提出了相应的解决思路。

【Abstract】 With the development of artificial intelligence technology, the application of large-scale language models in medical education has become a hot topic of scholars’ attention, especially ChatGPT. With its powerful natural language comprehension and generation capabilities, ChatGPT plays multiple roles in medical education. This article discusses in detail the application of ChatGPT in medical education, including online discussion and communication, passage analysis,intelligent grading, and teaching images generation, showcasing its significant results. At the same time, it also discusses in depth the challenges of data quality, model hallucination, data privacy and security, over-reliance and ethical issues that ChatGPT faces in the process of its application, and proposes corresponding ideas to solve them. At the same time, the article also delves into the challenges of data quality, model hallucination, data privacy and security, over-reliance, and ethical issues, and proposes corresponding solutions.

【基金】 国家社会科学基金项目:清代中医疾病学发展知识图谱构建研究(22BZS077);北京中医药大学教育课题项目:基于低代码的在线考试系统及可视化分析(XJY22048)
  • 【文献出处】 医学教育管理 ,Medical Education Management , 编辑部邮箱 ,2024年06期
  • 【分类号】R-4;G642;TP18
  • 【下载频次】89
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