大语言模型在医学论文撰写中的应用与挑战

The Application and Challenge of Large Language Model in Medical Article Writing

文章从医学研究生教学的角度探讨了以ChatGPT为代表的大语言模型在论文撰写中的应用价值与存在的挑战。大语言模型以其强大的文本生成、理解和推断能力,可以在高等教育和科研领域中发挥重要作用。通过对多种实际应用场景的分析,文章提供了一系列建议与策略,旨在帮助研究生更高效地利用大语言模型,同时尽量规避其潜在的风险。随着技术的持续进步,未来的大语言模型会更加强大,但也可能带来新的严峻挑战。总之,需要更加科学地使用大语言模型,确保大语言模型成为医学研究生开展研究、撰写论文的真正助力,而不是成为遏制其独立思考的障碍。

This paper explores the application value and challenges of large language models,such as ChatGPT,in academic writing from the perspective of medical graduate education.With their powerful capabilities in text generation,comprehension,and inference,large language models can play a significant role in higher education and research.Through an analysis of various real-world application scenarios,the paper provides a series of suggestions and strategies aimed at helping graduate students use large language models more effectively while minimizing potential risks.As technology continues to advance,future large language models are expected to become even more powerful,but they may also introduce new and serious challenges.In conclusion,it is crucial to adopt a more scientific approach to utilizing large language models,ensuring that large language models become a genuine aid in medical graduate research and thesis writing,rather than an obstacle to independent thinking.