整合和评估医疗病例报告中的 ChatGPT:多层面方法。

IF 3 Q1 PSYCHOLOGY, CLINICAL
Kuan-Chen Lin, Tsung-An Chen, Ming-Hwai Lin, Yu-Chun Chen, Tzeng-Ji Chen
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引用次数: 0

摘要

ChatGPT 是一种大型语言模型,在医学写作中具有重要意义,尤其是在记录疾病过程的病例报告中。本文探讨了 ChatGPT 的整合,以及 ChatGPT 如何在现实世界中塑造医学写作的过程、产品和政治。我们对使用 ChatGPT 的病例报告进行了文献计量分析,并在 PubMed 中进行了索引,其中包括出版信息。此外,我们还对 ChatGPT 的应用和局限性以及应用类别的发表趋势进行了深入分析。共发现 66 篇使用 ChatGPT 的病例报告,其中绝大多数偏好在线版本和作者的英文输入。普遍的应用类别是信息检索和内容生成。值得注意的是,这一趋势在不同月份保持一致。在 32 篇涉及病例报告写作中 ChatGPT 限制的文章子集中,与不准确和缺乏临床背景有关的问题得到了突出强调。这指出了临床思维和专业知识的重要作用,代表了医学教育的基本原则,同时也强调了医生与生成式人工智能之间的区别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration and Assessment of ChatGPT in Medical Case Reporting: A Multifaceted Approach.

ChatGPT, a large language model, has gained significance in medical writing, particularly in case reports that document the course of an illness. This article explores the integration of ChatGPT and how ChatGPT shapes the process, product, and politics of medical writing in the real world. We conducted a bibliometric analysis on case reports utilizing ChatGPT and indexed in PubMed, encompassing publication information. Furthermore, an in-depth analysis was conducted to categorize the applications and limitations of ChatGPT and the publication trend of application categories. A total of 66 case reports utilizing ChatGPT were identified, with a predominant preference for the online version and English input by the authors. The prevalent application categories were information retrieval and content generation. Notably, this trend remained consistent across different months. Within the subset of 32 articles addressing ChatGPT limitations in case report writing, concerns related to inaccuracies and a lack of clinical context were prominently emphasized. This pointed out the important role of clinical thinking and professional expertise, representing the foundational tenets of medical education, while also accentuating the distinction between physicians and generative artificial intelligence.

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来源期刊
CiteScore
4.40
自引率
12.50%
发文量
111
审稿时长
8 weeks
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