Chatbots in Limb Lengthening and Reconstruction Surgery: How Accurate Are the Responses?

IF 1.4 3区 医学 Q3 ORTHOPEDICS
Journal of Pediatric Orthopaedics Pub Date : 2025-01-01 Epub Date: 2024-09-20 DOI:10.1097/BPO.0000000000002824
Anirejuoritse Bafor, Daryn Strub, Søren Kold, Christopher A Iobst, Kirsten Tulchin-Francis
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引用次数: 0

Abstract

Background: Artificial intelligence-based language model chatbots are being increasingly used as a quick reference for healthcare related information. In pediatric orthopaedics, studies have shown that a significant percentage of parents use online search engines to find out more about the health condition of their children. Several studies have investigated the accuracy of the responses generated from these chatbots. The accuracy of responses with these programs in limb lengthening and reconstruction surgery has not previously been determined. Our goal was to assess the response accuracy of 3 different chatbots (ChatGPT, Google Bard, and Microsoft Copilot) to questions related to limb reconstruction surgery.

Methods: A list of 23 common questions related to limb reconstruction surgery was generated and posed to the 3 chatbots on 3 separate occasions. Responses were randomized and platform-blinded before rating by 3 orthopaedic surgeons. The 4-point rating system reported by Mika et al was used to grade all responses.

Results: We found that ChatGPT had the best response accuracy score of all 3 chatbots while Microsoft Copilot had the worst score, and this finding was consistent among all 3 raters.

Conclusions: Using the Response Accuracy Score, the responses from ChatGPT were determined to be satisfactory, requiring minimal clarification, while responses from Microsoft Copilot required moderate clarification.

Level of evidence: Level IV-diagnostic.

肢体延长和重建手术中的聊天机器人:反应有多准确?
背景:基于人工智能的语言模型聊天机器人越来越多地被用作医疗保健相关信息的快速参考。在儿科骨科,研究表明,相当大比例的父母使用在线搜索引擎来了解更多关于他们孩子的健康状况。有几项研究调查了这些聊天机器人产生的回答的准确性。这些方案在肢体延长和重建手术中的反应准确性以前尚未确定。我们的目标是评估3种不同的聊天机器人(ChatGPT、b谷歌Bard和Microsoft Copilot)对肢体重建手术相关问题的反应准确性。方法:生成23个与肢体重建手术相关的常见问题,并在3个不同的场合向3个聊天机器人提出问题。在3名骨科医生评分前,对患者的反应进行随机和平台盲法分析。采用Mika等人报告的4点评分系统对所有回答进行评分。结果:我们发现ChatGPT在所有3个聊天机器人中具有最佳的响应准确性得分,而Microsoft Copilot的得分最差,并且这一发现在所有3个评分者中都是一致的。结论:使用响应准确性评分,ChatGPT的响应被确定为令人满意,需要最少的澄清,而Microsoft Copilot的响应需要适度的澄清。证据等级:iv级诊断。
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来源期刊
CiteScore
3.30
自引率
17.60%
发文量
512
审稿时长
6 months
期刊介绍: ​Journal of Pediatric Orthopaedics is a leading journal that focuses specifically on traumatic injuries to give you hands-on on coverage of a fast-growing field. You''ll get articles that cover everything from the nature of injury to the effects of new drug therapies; everything from recommendations for more effective surgical approaches to the latest laboratory findings.
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