Gonzalez Aroca Joaquin, Vergara-Merino Laura, Escobar Liquitay Camila Micaela, Farías Humberto, Arancibia Jorge Olivares, Puelles Álvaro, Madrid Eva
Universidad de La Serena, La Serena, Chile
Department of Traumatology and Orthopedics, Pontificia Universidad Católica de Chile, Santiago, Chile.
BMJ Open. 2025 Mar 24;15(3):e092982. doi: 10.1136/bmjopen-2024-092982.
Musculoskeletal disorders (MSDs) represent a significant global health burden that leads to substantial disability with socioeconomic impact. With the rise of artificial intelligence (AI), particularly large language model-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 synthesised. Therefore, this scoping review aims to explore the current and potential use of AI-powered chatbots in managing MSDs. The review will map out the targeted diseases, the purposes of chatbot interventions, the clinical tools or frameworks used in training these systems and the evaluated outcomes in clinical settings.
This scoping review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines, with a comprehensive search across multiple databases, including Medline (Ovid Medline), Embase (Ovid), ISI Web of Science (Clarivate) and ClinicalTrials.gov. We will include studies involving adults with MSDs, regardless of publication status, language or year. 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.
Formal ethical approval is not required as this study involves neither human participants nor unpublished secondary data. The findings of this scoping review will be disseminated through professional networks, conference presentations and publication in a scientific journal.
肌肉骨骼疾病（MSD）是一项重大的全球健康负担，会导致严重残疾并产生社会经济影响。随着人工智能（AI）的兴起，尤其是由大语言模型驱动的对话代理（聊天机器人），改善MSD的管理成为可能。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。因此，本范围综述旨在探讨人工智能驱动的聊天机器人在管理MSD方面的当前及潜在用途。该综述将梳理出目标疾病、聊天机器人干预的目的、用于训练这些系统的临床工具或框架以及临床环境中的评估结果。
本范围综述将遵循系统评价和Meta分析扩展版的范围综述首选报告项目指南，全面检索多个数据库，包括Medline（Ovid Medline）、Embase（Ovid）、ISI Web of Science（Clarivate）和ClinicalTrials.gov。我们将纳入涉及患有MSD的成年人的研究，无论其发表状态、语言或年份如何。范围综述将排除使用非人工智能聊天机器人或人类健康教练的研究。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。
由于本研究既不涉及人类参与者，也不涉及未发表的二次数据，因此无需正式的伦理批准。本范围综述的结果将通过专业网络、会议报告和在科学期刊上发表进行传播。
