ChatGPT,生成预训练变压器,自2022年11月30日推出以来,已经引起了全球的关注,并引发了讨论。然而,它在医学教育和科学研究领域引起了争议。本文研究了潜在的应用,局限性,以及使用ChatGPT的策略。ChatGPT通过其强大的自然语言生成功能为医学生提供个性化学习支持,使它能够提供答案。此外,它在模拟临床情景方面表现出了显著的用途,促进教学和学习过程,振兴医学教育。尽管如此,许多挑战伴随着这些进步。在教育方面,防止过度依赖ChatGPT和打击学术剽窃是至关重要的。同样,在医学领域,保证及时性至关重要,准确度,和ChatGPT生成的内容的可靠性。同时,出现了关于信息安全的道德挑战和担忧。鉴于这些挑战,本文提出了有针对性的解决策略。首先,必须通过思想教育降低过度依赖ChatGPT和学术抄袭的风险,培养综合能力,并实施不同的评估标准。将当代教学方法与ChatGPT的使用相结合,可以提高医学教育的整体质量。为了增强生成内容的专业性和可靠性,建议实施措施,以专业方式优化ChatGPT的培训数据,并提高生成过程的透明度。这确保所生成的内容与医疗实践的最新标准一致。此外,加强价值一致性和建立相关立法或实践守则,解决道德问题,包括那些与算法歧视有关的,医疗责任的分配,隐私,和安全。总之,虽然ChatGPT在医学教育中具有巨大的潜力,它也遇到了各种挑战。通过综合研究和实施适合的策略,预计ChatGPT对医学教育的积极影响将被利用,为推进学科发展和培养高素质医疗人才奠定基础。
ChatGPT, a generative pretrained transformer, has garnered global attention and sparked discussions since its introduction on November 30, 2022. However, it has generated controversy within the realms of medical education and scientific research. This paper examines the potential applications, limitations, and strategies for using ChatGPT. ChatGPT offers personalized learning support to medical students through its robust natural language generation capabilities, enabling it to furnish answers. Moreover, it has demonstrated significant use in simulating clinical scenarios, facilitating teaching and learning processes, and revitalizing medical education. Nonetheless, numerous challenges accompany these advancements. In the context of education, it is of paramount importance to prevent excessive reliance on ChatGPT and combat academic
plagiarism. Likewise, in the field of medicine, it is vital to guarantee the timeliness, accuracy, and reliability of content generated by ChatGPT. Concurrently, ethical challenges and concerns regarding information security arise. In light of these challenges, this paper proposes targeted strategies for addressing them. First, the risk of overreliance on ChatGPT and academic
plagiarism must be mitigated through ideological education, fostering comprehensive competencies, and implementing diverse evaluation criteria. The integration of contemporary pedagogical methodologies in conjunction with the use of ChatGPT serves to enhance the overall quality of medical education. To enhance the professionalism and reliability of the generated content, it is recommended to implement measures to optimize ChatGPT\'s training data professionally and enhance the transparency of the generation process. This ensures that the generated content is aligned with the most recent standards of medical practice. Moreover, the enhancement of value alignment and the establishment of pertinent legislation or codes of practice address ethical concerns, including those pertaining to algorithmic discrimination, the allocation of medical responsibility, privacy, and security. In conclusion, while ChatGPT presents significant potential in medical education, it also encounters various challenges. Through comprehensive research and the implementation of suitable strategies, it is anticipated that ChatGPT\'s positive impact on medical education will be harnessed, laying the groundwork for advancing the discipline and fostering the development of high-caliber medical professionals.