人工智能语言模型是接受全踝关节置换术患者的有用工具。

Alan P Samsonov, Akram Habibi, James J Butler, Raymond J Walls, John G Kennedy
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引用次数: 0

摘要

背景:人工智能(AI)大型语言模型(LLMs),如聊天生成预训练转换器(ChatGPT),作为病人护理的辅助工具和强大的合成机器,已经获得了广泛的关注。迄今为止,还没有关于 ChatGPT 在足踝骨科手术中的应用,尤其是作为患者信息资源的应用。本研究旨在评估 ChatGPT 在回答有关全踝关节置换术(TAR)的常见问题时所提供信息的质量:方法:在对话线程中向 ChatGPT 提出 10 个有关 TAR 的常见问题。结果:在 10 个回答中,2 个被评为 "优秀",1 个被评为 "良好",1 个被评为 "较差",1 个被评为 "较差":在 10 个答复中,2 个为 "A "级,6 个为 "B "级,2 个为 "C "级,没有一个为 "F "级。总体而言,法律硕士对提出的提示做出了高质量的回答。结论总的来说,所提供的答复是可以理解的,并且代表了当前有关 TAR 的文献。本研究强调了 LLM 在增强患者对足踝手术程序的理解方面的潜在作用:证据等级:IV。
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Artificial Intelligence Language Models Are Useful Tools for Patients Undergoing Total Ankle Replacement.

Background: Artificial intelligence (AI) large language models (LLMs), such as Chat Generative Pre-trained Transformer (ChatGPT), have gained traction as both augmentative tools in patient care but also as powerful synthesizing machines. The use of ChatGPT in orthopaedic foot and ankle surgery, particularly as an informative resource for patients, has not been described to date. The purpose of this study was to assess the quality of information provided by ChatGPT in response to commonly asked questions about total ankle replacement (TAR).

Methods: ChatGPT was asked 10 frequently asked questions about TAR in a conversational thread. Responses were recorded without follow-up, and subsequently graded A, B, C, or F, corresponding with "excellent response," "adequate response needing mild clarification," "inadequate response needing moderate clarification," and "poor response needing severe clarification."

Results: Of the 10 responses, 2 were grade "A," 6 were grade "B," 2 were grade "C," and none were grade "F." Overall, the LLM provided good-quality responses to the posed prompts. Conclusion. Overall, the provided responses were understandable and representative of the current literature surrounding TAR. This study highlights the potential role LLMs in augmenting patient understanding of foot and ankle operative procedures.

Levels of evidence: IV.

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