Kabir Aymen, Shah Suraj, Haddad Alexander, Raper Daniel M S
Department of Neurological Surgery, University of California, San Francisco, California, USA.
University of California, Berkeley, California, USA.
World Neurosurg. 2025 Jan;193:461-468. doi: 10.1016/j.wneu.2024.10.041. Epub 2024 Nov 12.
The rapid progression of artificial intelligence (AI) and large language models (LLMs), such as ChatGPT, has contributed to increase its utility and popularity in various fields. Discourse about AI's potential role in different aspects of scientific literature such as writing, data analysis, and literature review, is growing as the programs continue to improve their capabilities. This study utilizes a recently released ChatGPT tool that allows users to create customized GPTs to highlight the potential of customizable GPTs tailored to prepare and write research manuscripts.
We developed our 2 GPTs, Neurosurgical Research Paper Writer and Medi Research Assistant, through iterative refinement of ChatGPT 4.0's tool, GPT Builder. This process included providing specific and thorough instructions along with repetitive testing and feedback-driven adjustments to finalize a version of the model that fit our needs.
The GPT models that we created were able to efficiently and consistently produce accurate outputs from inputted prompts based on their specific configurations. It effectively analyzed existing literature that it found and synthesized information in ways that were reliable and written in ways comparable to manuscripts authored by scientific professionals.
While the ability of modern AI to generate scientific manuscripts has shown significant progress, the persistence of fallacies and miscalculations suggest that the development of GPTs requires extensive calibration before achieving greater reliability and consistency. Nevertheless, the prospective horizon of AI-driven research holds promise in streamlining the publication workflow and increasing accessibility to novel research.
人工智能（AI）和大型语言模型（LLMs），如ChatGPT的迅速发展，促使其在各个领域的实用性和受欢迎程度不断提高。随着这些程序不断提升其能力，关于AI在科学文献的不同方面，如写作、数据分析和文献综述中可能发挥的作用的讨论也日益增多。本研究利用了最近发布的ChatGPT工具，该工具允许用户创建定制的GPT，以突出定制GPT在准备和撰写研究手稿方面的潜力。
我们通过对ChatGPT 4.0的工具GPT Builder进行迭代优化，开发了两个GPT，即神经外科研究论文撰写器和医学研究助手。这个过程包括提供具体而全面的指令，以及反复测试和基于反馈的调整，以确定一个符合我们需求的模型版本。
我们创建的GPT模型能够根据其特定配置，从输入的提示中高效且一致地生成准确的输出。它有效地分析了找到的现有文献，并以可靠的方式综合信息，其撰写方式可与科学专业人员撰写的手稿相媲美。
虽然现代AI生成科学手稿的能力已取得显著进展，但错误和误算的存在表明，在实现更高的可靠性和一致性之前，GPT的开发需要进行广泛的校准。尽管如此，AI驱动研究的前景有望简化出版流程并增加获取新研究的机会。
