Evidence map›Paper›PMID 42363582›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2026

Understanding Public Awareness, Attitudes, Beliefs, and Perceptions About ChatGPT in Saudi Arabia: A Road Map for Digital Health.

Norah M Alyahya, Falah Ali Alwadei, Hussam Abdullah Alshehri, Abeer Swailm Al-Khaldi, Ghada Mohammed Al-Mubaraki, Mohammed AlFaifi, Abdullah M Alobaid, Wajid Syed

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Norah M AlyahyaCommunity and Psychiatric Mental Health Nursing, College of Nursing, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0001-8646-9659
Falah Ali AlwadeiDepartment of Community and Mental Health Nursing, King Saud University, Riyadh, Saudi Arabia.
Hussam Abdullah AlshehriDepartment of Administration at the College of Nursing, King Saud University, Riyadh, Saudi Arabia.
Abeer Swailm Al-KhaldiDepartment of Business Unit, King Saud University, Riyadh, Saudi Arabia.
Ghada Mohammed Al-MubarakiDepartment of Business Unit, King Saud University, Riyadh, Saudi Arabia.
Mohammed AlFaifiDepartment of Health Administration, College of Nursing, King Saud University, Riyadh, Saudi Arabia.
Abdullah M AlobaidDepartment of Accidents and Trauma, Prince Sultan bin Abdulaziz College for Emergency Medical Services, King Saud University, Riyadh, Saudi Arabia.
Wajid SyedDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Chat Generative Pre-Trained Transformer (ChatGPT) is an advanced artificial intelligence (AI) tool that has become increasingly integrated into daily life. In Saudi Arabia, government initiatives actively encourage the adoption of AI technologies, yet information on public perceptions of this technology remains insufficient. This study assessed public awareness, attitudes, beliefs, and perceptions about ChatGPT in Saudi Arabia. MATERIAL AND METHODS A cross-sectional survey was conducted among individuals living Saudi Arabia, from July to September 2025. Data were collected via an online questionnaire consisting of 25 items collecting information on demographic characteristics, their perceptions, awareness, and use of ChatGPT, and their attitudes and perceived obstacles regarding ChatGPT. Descriptive statistics were used for data analyzing using SPSS version 26. RESULTS Of participants 1069, 56.7% were female and 76.5% held a university degree. While 48.7% were somewhat familiar with ChatGPT, over half (54.6%) of them reported positive attitudes toward ChatGPT. Perceived benefits included productivity and educational enhancement, but concerns centered on overdependence (61.3%), incorrect information (55.7%), job loss (54.2%), and biased content (53.5%). Key obstacles were lack of credibility (76%) and confidentiality concerns (68.5%). The findings indicate that gender (P=0.001), age (P=0.001), and educational attainment (P=0.001) are important factors influencing familiarity and comfort with ChatGPT in daily life. CONCLUSIONS The Saudi public demonstrates a balanced perspective toward ChatGPT, recognizing its potential to enhance productivity and education while expressing valid concerns about trust and accuracy. Targeted awareness and policy measures are needed to build confidence and responsible adoption.

Indexed as

Health Knowledge, Attitudes, PracticeAdolescentAdultArtificial IntelligenceAwarenessCross-Sectional StudiesDigital HealthFemaleGenerative Artificial IntelligenceHumansMaleMiddle AgedPerceptionSaudi ArabiaSurveys and QuestionnairesYoung Adult

Identifiers

PMID42363582
PMCPMC13321900

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.