Evidence map›Paper›PMID 40739307›Full record

ArticleScientific reports2025

Nurses perceptions and use of artificial intelligence in healthcare.

Hossein Namdar Areshtanab, Farnaz Rahmani, Maryam Vahidi, Seyyedeh Zahra Saadati, Akram Pourmahmood

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Hossein Namdar AreshtanabDepartment of Mental Health and Psychiatric Nursing, Nursing and Midwifery Faculty, Tabriz University of Medical Sciences, Tabriz, Iran. namdarh@tbzmed.ac.ir.
Farnaz RahmaniDepartment of Mental Health and Psychiatric Nursing, Nursing and Midwifery Faculty, Tabriz University of Medical Sciences, Tabriz, Iran.
Maryam VahidiDepartment of Mental Health and Psychiatric Nursing, Nursing and Midwifery Faculty, Tabriz University of Medical Sciences, Tabriz, Iran.
Seyyedeh Zahra SaadatiDepartment of Mental Health and Psychiatric Nursing, Nursing and Midwifery Faculty, Tabriz University of Medical Sciences, Tabriz, Iran.
Akram PourmahmoodImam Reza General Hospital, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of artificial intelligence (AI) in nursing care is an important professional issue. However, few studies have investigated the knowledge, attitudes, application, and acceptance of artificial intelligence in nursing care. This study aimed to explore the knowledge, attitude, application, and acceptance of artificial intelligence in health care among Iranian nurses. A descriptive design conducted on 400 nurses who worked in university hospitals in Tabriz, Iran in 2024. A stratified random sampling method was used for selecting participants. Data collection tools included a demographic-social questionnaire and questionnaires of knowledge, attitude, application, and acceptance towards artificial intelligence in nursing care. Data were analyzed using both descriptive and inferential statistics. The results of the study showed that most nurses (41.1%) had low knowledge, (65.8%) good attitude, (74.6%) a moderate level of acceptance and (55.8%) applied AI at a high level. There was a positive and significant correlation between nurses' knowledge and their attitude (R = 0.311, P < 0.001), application (R = 0.514, P < 0.001), and acceptance (R = 0.381, P < 0.001) regarding AI. The study's results showed that nurses have low knowledge about AI, which shows the need to hold training workshops on this subject. The study's results also showed that nurses have positive opinions of AI in the healthcare industry, which will help them speed up procedures and improve nursing care.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelDelivery of Health CareHealth Knowledge, Attitudes, PracticeNursesAdultFemaleHumansIranMaleMiddle AgedSurveys and QuestionnairesAcceptanceApplicationArtificial intelligenceAttitudeKnowledgeNursing

Identifiers

PMID40739307
PMCPMC12311186

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.