Evidence map›Paper›PMID 39728632›Full record

ArticleNursing reports (Pavia, Italy)2024

Perceived Worries in the Adoption of Artificial Intelligence Among Healthcare Professionals in Saudi Arabia: A Cross-Sectional Survey Study.

Abdulaziz R Alsaedi, Nada Alneami, Fahad Almajnoni, Ohoud Alamri, Khulud Aljohni, Maha K Alrwaily, Meshal Eid, Abdulaziz Budayr, Maram A Alrehaili, Marha M Alghamdi and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Nursing reports (Pavia, Italy), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07149012 (Artificial Intelligence for Surgical Care in War-Torn Sudan), which is not on this map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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.

NCT07149012 completednot on this map

Artificial Intelligence for Surgical Care in War-Torn Sudan: Feasibility, Barriers, and Ethical Perspectives From a Conflict Zone

TypeobservationalSponsorSudan Medical Specialization BoardRan2024 to 2025Enrolled185ConditionsSurgical Procedures, Operative, Artificial Intelligence (AI), War Injury, Wounds and InjuriesArmsArtificial Intelligence Awareness and Feasibility Assessment
3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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  12. AI-powered tools in family medicine: Bridging technology and practice.Journal of family medicine and primary care · 2026
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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

12 authors.

Abdulaziz R AlsaediMedical Services, National Guard Health Affairs, Madinah 40740, Saudi Arabia.ORCID 0000-0001-6686-0466
Nada AlneamiMedical Services, National Guard Health Affairs, Madinah 40740, Saudi Arabia.
Fahad AlmajnoniMedical Services, National Guard Health Affairs, Madinah 40740, Saudi Arabia.
Ohoud AlamriKing Fahad Specialist Hospital, Ministry of Health, Tabuk 71411, Saudi Arabia.
Khulud AljohniKing Fahad Specialist Hospital, Ministry of Health, Tabuk 71411, Saudi Arabia.
Maha K AlrwailyHR Department, Ministry of Health, Turaif 91411, Saudi Arabia.
Meshal EidKing Fahad Specialist Hospital, Ministry of Health, Tabuk 71411, Saudi Arabia.
Abdulaziz BudayrKing Fahad Specialist Hospital, Ministry of Health, Tabuk 71411, Saudi Arabia.
Maram A AlrehailiMinister Assistant Office, Ministry of Health, Riyadh 11176, Saudi Arabia.
Marha M AlghamdiSharourah General Hospital, Ministry of Health, Najran 55461, Saudi Arabia.
Eqab D AlmutairiOperations, National Guard Health Affairs, Dammam 11426, Saudi Arabia.
Mohammed H EidKing Fahad Specialist Hospital, Ministry of Health, Tabuk 71411, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of AI in the healthcare sector is facing some formidable concerns raised by the practitioners themselves. This study aimed to establish the concerns that surround the adoption of AI among Saudi Arabian healthcare professionals. Materials and methods: This was a cross-sectional study using stratified convenience sampling from September to November 2024 across health facilities. This study included all licensed healthcare professionals practicing for at least one year, whereas interns and administrative staff were excluded from the research. Data collection was conducted through a 33-item validated questionnaire that was provided in paper form and online. The questionnaire measured AI awareness with eight items, past experience with five items, and concerns in four domains represented by 20 items. Four hundred questionnaires were distributed, and the response rate was 78.5% (

Indexed as

artificial intelligencehealthcarehealthcare technologyhealth personnelmedical informaticsquality of careSaudi Arabiatechnology adoption

Identifiers

PMID39728632
PMCPMC11677610

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.