Role of Artificial Intelligence-Powered Conversational Agents (Chatbots) in Musculoskeletal Disorders: A Scoping Review Protocol

Joaquin Gonzalez Aroca, Laura Vergara Merino, Camila Escobar Liquitay, Humberto Farias A, Jorge Olivares Arancibia, Alvaro Puelles
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Abstract

ntroduction: Musculoskeletal disorders (MSDs) represent a significant global health burden, leading to substantial disability and socioeconomic impact. With the rise of artificial intelligence (AI), particularly large language models-driven conversational agents (chatbots), there is potential to enhance the management of MSDs. However, the application of AI-powered chatbots in this population has not been comprehensively synthesized. Objective: To explore the current and potential use of AI-powered chatbots in the management of MSDs. The review will map out the targeted diseases, the purposes of chatbot interventions, the clinical tools or frameworks utilized in training these systems, and the evaluated outcomes in clinical settings. Methods: This scoping review will follow the PRISMA-ScR guidelines, with a comprehensive search across multiple databases including Medline (Ovid MEDLINE), Embase (Ovid), ISI Web of Science (wos; clarivate) and ClinicalTrials.gov. Studies involving adults with MSDs, regardless of publication status, language, or year, will be included. The scoping review will exclude studies using non-AI chatbots or human health coaches. Data extraction and synthesis will focus on demographic characteristics, chatbot methods, outcomes, and thematic analysis.
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人工智能对话代理(聊天机器人)在肌肉骨骼疾病中的作用:范围审查协议
导言:肌肉骨骼疾病(MSDs)是全球重大的健康负担,会导致严重的残疾和社会经济影响。随着人工智能(AI)的兴起,特别是大型语言模型驱动的会话代理(聊天机器人)的兴起,有可能加强对 MSDs 的管理。然而,人工智能驱动的聊天机器人在这一人群中的应用尚未得到全面综合。目的探索人工智能聊天机器人在 MSDs 管理中的当前和潜在应用。综述将列出目标疾病、聊天机器人干预的目的、培训这些系统时使用的临床工具或框架,以及临床环境中的评估结果。方法:本次范围界定综述将遵循 PRISMA-ScR 指南,在 Medline (Ovid MEDLINE)、Embase (Ovid)、ISI Web of Science (wos; clarivate) 和 ClinicalTrials.gov 等多个数据库中进行全面检索。涉及患有 MSDs 的成人的研究,无论其出版状态、语言或年份如何,均将纳入其中。范围界定审查将排除使用非人工智能聊天机器人或人类健康顾问的研究。数据提取和综合将侧重于人口统计学特征、聊天机器人方法、结果和主题分析。
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