ArticleBMJ open2025
Artificial intelligence tools for the assessment and management of dysphagia: protocol for a scoping review.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Swallowing Improvement Surgery for Dysphagia in Wallenberg Syndrome: A Scoping Review of the English and Japanese Literature.Journal of clinical medicine · 2026Review
- Artificial intelligence tools for the assessment and management of dysphagia: a scoping review.BMJ open · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDysphagia, or difficulty in swallowing, significantly impacts the quality of life of the affected individuals. Diagnostic approaches, including video fluoroscopic swallowing studies and flexible endoscopic evaluation of swallowing, are the most commonly used methods for assessing swallowing function. Recent advancements have led to the development of artificial intelligence (AI), including machine learning (ML) and deep learning (DL), which will provide innovative approaches to dysphagia diagnosis and treatment planning. There is a limited synthesis of literature on AI tools in dysphagia. There is an urgent need for a more rigorous and structured scoping review that can address the existing gaps, provide a more comprehensive evidence synthesis, and establish clearer guidelines for the clinical implementation of AI in assessments and management of dysphagia. This review will include studies focusing on AI tools such as ML, DL and computer vision for assessing and managing dysphagia. The context will be clinical or therapeutic settings, and all language articles will be considered for the review. Studies not involving AI technologies, those without clinical outcomes and ethical approval, and those focusing solely on the paediatric population will be excluded. This scoping review will systematically map and synthesise the existing literature on the use of AI tools for the assessment and management of dysphagia. METHODS AND ANALYSIS: This scoping review will follow JBI methodology and PRISMA ScR guidelines. Information to be searched from January 2000 to May 2025 will include MEDLINE (via Ovid), Scopus, CINAHL (via EBSCOhost), Cochrane Library, JBI Evidence Synthesis, ProQuest and Google Scholar. The titles, abstracts and full texts will be screened by two independent reviewers. Data extraction will use a study-specific customised form, with descriptive analysis employed to categorise studies by AI tools and outcomes. ETHICS AND DISSEMINATION: Ethical approval is not mandatory for this scoping review as it does not entail the collection of any individual patient data. Secondary data from publicly accessible research papers will be used. All the data sources will be appropriately cited. The findings will be propagated through peer-reviewed publications and scientific presentations. TRIAL REGISTRATION NUMBER: Open Science Framework: DOI 10.17605/OSF.IO/DYCE9.
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Registered trials
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.