Can ChatGPT Answer Patient Questions Regarding Total Knee Arthroplasty?

IF 1.6 4区 医学 Q3 ORTHOPEDICS Journal of Knee Surgery Pub Date : 2024-07-01 Epub Date: 2024-03-05 DOI:10.1055/s-0044-1782233
Aleksander P Mika, Hillary E Mulvey, Stephen M Engstrom, Gregory G Polkowski, J Ryan Martin, Jacob M Wilson
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Abstract

The internet has introduced many resources frequently accessed by patients prior to orthopaedic visits. Recently, Chat Generative Pre-Trained Transformer, an artificial intelligence-based chat application, has become publicly and freely available. The interface uses deep learning technology to mimic human interaction and provide convincing answers to questions posed by users. With its rapidly expanding usership, it is reasonable to assume that patients will soon use this technology for preoperative education. Therefore, we sought to determine the accuracy of answers to frequently asked questions (FAQs) pertaining to total knee arthroplasty (TKA).Ten FAQs were posed to the chatbot during a single online interaction with no follow-up questions or repetition. All 10 FAQs were analyzed for accuracy using an evidence-based approach. Answers were then rated as "excellent response not requiring clarification," "satisfactory requiring minimal clarification," satisfactory requiring moderate clarification," or "unsatisfactory requiring substantial clarification."Of the 10 answers given by the chatbot, none received an "unsatisfactory" rating with the majority either requiring minimal (5) or moderate (4) clarification. While many answers required nuanced clarification, overall, answers tended to be unbiased and evidence-based, even when presented with controversial subjects.The chatbot does an excellent job of providing basic, evidence-based answers to patient FAQs prior to TKA. These data were presented in a manner that will be easily comprehendible by most patients and may serve as a useful clinical adjunct in the future.

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ChatGPT 能否回答患者有关全膝关节置换术的问题?
互联网引入了许多患者在骨科就诊前经常访问的资源。最近,基于人工智能的聊天应用程序 "聊天生成预训练转换器 "开始公开免费提供。该界面使用深度学习技术来模仿人机交互,并对用户提出的问题提供令人信服的答案。随着其用户群的迅速扩大,我们有理由认为,患者很快就会将这项技术用于术前教育。因此,我们试图确定与全膝关节置换术(TKA)相关的常见问题(FAQ)答案的准确性。在一次在线互动中,聊天机器人回答了 10 个常见问题,没有后续问题或重复问题。采用循证方法对所有 10 个常见问题进行了准确性分析。在聊天机器人给出的 10 个答案中,没有一个被评为 "不满意",大多数答案都需要最低(5 分)或中等(4 分)的说明。虽然许多答案需要细微的澄清,但总体而言,即使是有争议的问题,答案也倾向于不偏不倚和以证据为基础。"聊天机器人在为 TKA 前的患者常见问题提供基本的、以证据为基础的答案方面做得非常出色。聊天机器人很好地为患者提供了 TKA 术前常见问题的基本循证解答,这些数据的呈现方式很容易被大多数患者理解,将来可能会成为有用的临床辅助工具。
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来源期刊
CiteScore
4.50
自引率
5.90%
发文量
139
期刊介绍: The Journal of Knee Surgery covers a range of issues relating to the orthopaedic techniques of arthroscopy, arthroplasty, and reconstructive surgery of the knee joint. In addition to original peer-review articles, this periodical provides details on emerging surgical techniques, as well as reviews and special focus sections. Topics of interest include cruciate ligament repair and reconstruction, bone grafting, cartilage regeneration, and magnetic resonance imaging.
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