Evidence map›Paper›PMID 38976518›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2024

Awareness and Perceptions of ChatGPT Among Academics and Research Professionals in Riyadh, Saudi Arabia: Implications for Responsible AI Use.

Wajid Syed, Adel Bashatah, Kholoud Alharbi, Safiya Salem Bakarman, Saeed Asiri, Naji Alqahtani

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Understanding Public Awareness, Attitudes, Beliefs, and Perceptions About ChatGPT in Saudi Arabia: A Road Map for Digital Health.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
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  4. Intermittent Fasting Among Adults: Patterns, Prevalence, and Health Benefits.Medical science monitor : international medical journal of experimental and clinical research · 2025
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  5. Review
  6. Factors Influencing Breast Cancer Knowledge and Attitudes of Women in Abbottabad, Pakistan.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  7. Article
  8. Article
  9. Article
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

6 authors.

Wajid SyedDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-4077-4524
Adel BashatahDepartment of Nursing Administration and Education, College of Nursing, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0003-3825-2812
Kholoud AlharbiDepartment of Nursing Administration and Education, College of Nursing, King Saud University, Riyadh, Saudi Arabia.
Safiya Salem BakarmanDepartment of Community and Mental Health Nursing, College of Nursing, King Saud University, Riyadh, Saudi Arabia.
Saeed AsiriDepartment of Nursing Administration and Education, College of Nursing, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0003-0441-4625
Naji AlqahtaniDepartment of Nursing Administration and Education, College of Nursing, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0001-9189-3841

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Chat Generative Pre-Trained (ChatGPT) Transformer was created by OpenAI and has a powerful tool used in research. This study aimed to assess the awareness and perceptions of ChatGPT among researchers and academicians at King Saud University, Riyadh, Saudi Arabia. MATERIAL AND METHODS A self-administered cross-sectional study was conducted among academicians and researchers from November 2023 to March 2024 using electronic questionnaires prepared in Google Forms. The data were collected using the Tawasul platform, which sent the electronic questionnaires to the targeted population. To determine the association between variables, the chi-square or Fisher exact test was applied at a significance level of <0.05. To find predictors of use of ChatGPT, multiple linear regression analysis was applied. RESULTS A response rate of 66.5% was obtained. Among those, 60.2% (n=121) had expertise in computer skills and 63.7% were familiar with ChatGPT. The respondents' gender, age, and specialization had a significant association with familiarity with ChatGPT (p<0.001). The results of the multiple linear regression analysis revealed that there was a significant association between the use of ChatGPT, age (B=0.048; SE=0.022; t=2.207; p=.028; CI=0.005-0.092) gender (B=0.330; SE=0.067; t=4.906; p=.001; CI=197-.462) and nationality, (B=0.194; SE=0.065; t=2.982; p=.003, CI=.066-.322). CONCLUSIONS The growing use of ChatGPT in scholarly research offers a chance to promote the ethical and responsible use of artificial intelligence. Future studies ought to concentrate on assessing ChatGPT's clinical results and comparing its effectiveness to those of other ChatGPT and other AI tools.

Indexed as

Artificial IntelligenceResearch PersonnelAdultAwarenessCross-Sectional StudiesFemaleHumansMaleMiddle AgedPerceptionSaudi ArabiaSurveys and QuestionnairesUniversities

Identifiers

PMID38976518
PMCPMC11302236

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.