Evidence map›Paper›PMID 38967044›Full record

ArticleInternational nursing review2025

Incorporation of artificial intelligence into nursing research: A scoping review.

Yasin M Yasin, Areej Al-Hamad, Kateryna Metersky, Vahe Kehyayan

Abstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in International nursing review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 5 pooled it
–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

11 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  4. The Role of AI in Nursing Education and Practice: Umbrella Review.Journal of medical Internet research · 2025
    Pooled it
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  6. Review
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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

4 authors.

Yasin M YasinDepartment of Nursing and Midwifery, Collage of Health Sciences, University of Doha for Science and Technology, Doha, Qatar.ORCID https://orcid.org/0000-0003-0599-7180
Areej Al-HamadDaphne Cockwell School of Nursing, Daphne Cockwell School of Nursing, Toronto Metropolitan University, Toronto, Canada.ORCID https://orcid.org/0000-0002-6400-0750
Kateryna MeterskyDaphne Cockwell School of Nursing, Daphne Cockwell School of Nursing, Toronto Metropolitan University, Toronto, Canada.ORCID https://orcid.org/0000-0002-2738-0256
Vahe KehyayanHealthcare Management, College of Business, University of Doha for Science and Technology, Doha, Qatar.ORCID https://orcid.org/0000-0002-2462-7399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe integration of artificial intelligence (AI) across different sectors, notably healthcare, is on the rise. However, a thorough exploration of AI's incorporation into nursing research, as well as its advantages and obstacles, is still lacking.

objectiveThe aim of this scoping review was to map the roles, benefits, challenges, and potentials for the future development and use of AI in the context of nursing research.

methodsAn exhaustive search was conducted across seven databases: MEDLINE, PsycINFO, SCOPUS, Web of Science, CINAHL, Google Scholar, and ProQuest. Articles were additionally identified through manual examination of reference lists of the articles that were included in the study. The search criteria were restricted to articles published in English between 2010 and 2023. The Joanna Briggs Institute (JBI) approach for scoping reviews and the PRISMA-ScR guidelines guided the processes of source selection, data extraction, and data presentation.

resultsTwenty articles met the inclusion criteria, covering topics from ethical considerations to methodological issues and AI's capabilities in data analysis and predictive modeling.

conclusionThe review identified both the potentials and complexities of integrating AI into nursing research. Ethical and legal considerations warrant a coordinated approach from multiple stakeholders. IMPLICATION: The findings emphasized AI's potential to revolutionize nursing research, underscoring the need for ethical guidelines, equitable access, and AI literacy training to ensure its responsible and inclusive use.

Indexed as

Artificial IntelligenceNursing ResearchHumansAIartificial intelligencebenefitchallengenursingresearchreview

Identifiers

PMID38967044
PMCPMC11741909

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.