ArticleF1000Research2025
Use of artificial intelligence within the gambling field: a scoping review protocol.
Article in F1000Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: This scoping review aims to map existing studies that have employed artificial intelligence (AI) tools within the gambling field, examining their areas of use, current trends, and key findings. Methods and analysis: This review will adhere to the Joanna Briggs Institute Reviewers' Manual. The review will be organized along the Population, Concept and Context approach. It will include quantitative peer-reviewed studies that examine the use of AI tools within gambling contexts. Searches for relevant articles will be conducted in Web of Science, APA PsycINFO, Medline (Ovid), ProQuest, CINAHL, and Wiley Online Library. A search for grey literature will be conducted in GreyLit. Org, ProQuest Dissertations and Theses, Google Scholar, and Google search engine, reviewing the first 50 results in Incognito mode. Two independent reviewers will perform screening, selection, and data extraction, with disagreements resolved through discussion or consultation with a third reviewer. The results will be presented in graphical and tabular format, accompanied by a narrative summary following the PRISMA-ScR guidelines. The protocol has been pre-registered in Open Science Framework: https://doi.org/10.17605/OSF.IO/FMBE6. Ethics and dissemination: This study protocol is exempted from ethical approval. The planned review aims to describe how AI has been used within the gambling field and has as such as a goal to inform various stakeholders such as clinicians, gambling operators as well as regulatory authorities. The scoping review will be published in an open access journal.
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What OpenQuestion holds
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.