Division of Neurosurgery, Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada; Department of Neurosurgery and Neurology, McGill University Faculty of Medicine, Montreal, QC, Canada.
University of Ottawa Faculty of Medicine, Division of Neurosurgery, Ottawa, ON, Canada.
J Clin Neurosci. 2024 Nov;129:110815. doi: 10.1016/j.jocn.2024.110815. Epub 2024 Sep 4.
Large language models (LLM) have been promising recently in the medical field, with numerous applications in clinical neuroscience. OpenAI's launch of Generative Pre-trained Transformer 3.5 (GPT-3.5) in November 2022 and its successor, Generative Pre-trained Transformer 4 (GPT 4) in March 2023 have garnered widespread attention and debate surrounding natural language processing (NLP) and LLM advancements. Transformer models are trained on natural language datasets to predict and generate sequences of characters. Using internal weights from training, they produce tokens that align with their understanding of the initial input. This paper delves into ChatGPT's potential as a learning tool in neurosurgery while contextualizing its abilities for passing medical licensing exams and neurosurgery written boards. Additionally, possibilities for creating personalized case presentations and study material are discussed alongside ChatGPT's capacity to optimize the research workflow and perform a concise literature review. However, such tools need to be used with caution, given the possibility of artificial intelligence hallucinations and other concerns such as user overreliance, and complacency. Overall, this opinion paper raises key points surrounding ChatGPT's role in neurosurgical education.
大型语言模型(LLM)在医学领域最近备受关注,在临床神经科学中有许多应用。OpenAI 于 2022 年 11 月推出的生成式预训练转换器 3.5(GPT-3.5)及其后续产品 2023 年 3 月推出的生成式预训练转换器 4(GPT 4)引起了自然语言处理(NLP)和 LLM 发展的广泛关注和争论。Transformer 模型在自然语言数据集上进行训练,以预测和生成字符序列。它们使用训练过程中的内部权重来生成与它们对初始输入理解一致的标记。本文探讨了 ChatGPT 在神经外科作为学习工具的潜力,同时将其通过医学执照考试和神经外科笔试的能力置于背景之中。此外,还讨论了创建个性化病例演示和学习材料的可能性,以及 ChatGPT 优化研究工作流程和进行简明文献综述的能力。然而,鉴于人工智能幻觉和其他问题的可能性,如用户过度依赖和自满,此类工具需要谨慎使用。总的来说,这篇观点文章提出了围绕 ChatGPT 在神经外科学教育中作用的关键问题。