Evidence map›Paper›PMID 40132840›Full record

ArticleBMJ open2025

Role of artificial intelligence-powered conversational agents (chatbots) in musculoskeletal disorders: a scoping review protocol.

Joaquin Gonzalez Aroca, Laura Vergara-Merino, Camila Micaela Escobar Liquitay, Humberto Farías, Jorge Olivares Arancibia, Álvaro Puelles, Eva Madrid

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Joaquin Gonzalez ArocaUniversidad de La Serena, La Serena, Chile joaquin.gonzalez@userena.cl.ORCID http://orcid.org/0000-0002-2926-1103
Laura Vergara-MerinoDepartment of Traumatology and Orthopedics, Pontificia Universidad Católica de Chile, Santiago, Chile.
Camila Micaela Escobar LiquitayResearch Department, Instituto Universitario Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0002-2903-6870
Humberto FaríasDepartment of Industrial Engineering, Universidad de La Serena, La Serena, Chile.
Jorge Olivares ArancibiaUniversidad de Las Americas, Santiago, Chile.
Álvaro PuellesUniversidad de La Serena, La Serena, Chile.
Eva MadridEscuela de Medicina, Universidad de Valparaiso, Valparaiso, Chile.ORCID http://orcid.org/0000-0002-8095-5549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMusculoskeletal 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. METHODS AND ANALYSIS: 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. ETHICS AND DISSEMINATION: 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.

Indexed as

Artificial IntelligenceCommunicationMusculoskeletal DiseasesGenerative Artificial IntelligenceHumansResearch DesignScoping Reviews as TopicArtificial IntelligenceDigital TechnologyMusculoskeletal disorders

Identifiers

PMID40132840
PMCPMC11934414

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.