Evidence map›Paper›PMID 41449250›Full record

ArticleScientific reports2025

Awareness, usage, and perspectives on ChatGPT in dental education among graduate and undergraduate students.

Raahim Salman Abdul Ghaffar, Raiqa Malik, Muqaddas Amjad, Ruba Nadeem, Muhammad Saad Admani, Anas Sanaullah, Sara Altamash, Naseer Ahmed, Artak Heboyan, Rizwan Jouhar

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

10 authors.

Raahim Salman Abdul GhaffarDepartment of Paediatrics & Child Health, Aga Khan University, Karachi, Pakistan.
Raiqa MalikDepartment of Prosthodontics, Altamash Institute of Dental Medicine, Karachi, 75500, Pakistan.
Muqaddas AmjadDepartment of Prosthodontics, Altamash Institute of Dental Medicine, Karachi, 75500, Pakistan.
Ruba NadeemDepartment of Prosthodontics, Altamash Institute of Dental Medicine, Karachi, 75500, Pakistan.
Muhammad Saad AdmaniDepartment of Prosthodontics, Altamash Institute of Dental Medicine, Karachi, 75500, Pakistan.
Anas SanaullahDepartment of Prosthodontics, Altamash Institute of Dental Medicine, Karachi, 75500, Pakistan.
Sara AltamashDepartment of Orthodontics, Altamash Institute of Dental Medicine, Karachi, 75500, Pakistan.
Naseer AhmedDepartment of Prosthodontics, Altamash Institute of Dental Medicine, Karachi, 75500, Pakistan.
Artak HeboyanDepartment of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600 077, India. a_heboyan@farabi.tums.ac.ir.
Rizwan JouharDepartment of Restorative Dental Sciences, College of Dentistry, King Faisal University, 31982, Al Hofuf, Al-Ahsa, Saudi Arabia. rjouhar@kfu.edu.sa.

Funding

King Faisal University KFU251177
6 · The paper itself

Abstract

To assess the knowledge, attitudes, and practices (KAP) related to ChatGPT among undergraduate students and graduates in Karachi, Pakistan, and to analyze an association with sociodemographic factors. A cross-sectional study was conducted over three months using a self-administered, structured questionnaire distributed via online platforms (WhatsApp, and emails). The questionnaire included four sections: demographics, knowledge, attitude, and practice related to ChatGPT. A non-probability convenience sampling technique was employed. Data were analyzed using SPSS version 26. Descriptive statistics summarized participant characteristics. Multiple linear regression was used to identify associations between KAP outcomes and sociodemographic variables. A p-value ≤ 0.05 was considered statistically significant. A total of 347 participants responded, of whom 74.6% were female and 76.4% reported awareness of ChatGPT. Age, designation, and years of experience were significantly associated with knowledge (p = 0.012, 0.001, and 0.001, respectively). Attitude was significantly influenced by age and gender (p = 0.03 and 0.04, respectively), while only gender showed a significant association with perception (p = 0.021). Most respondents considered ChatGPT moderately accurate (54.8%) and acknowledged its usefulness in education and research. Ethical concerns and uncertainty about ChatGPT replacing human roles were also noted. The majority of dental students and professionals in Karachi are aware of ChatGPT and hold a cautiously optimistic view of its role in dental education. While attitudes are generally positive, concerns remain regarding ethical implications and clinical applicability. Structured AI training and clear implementation guidelines are needed to support its effective integration in dental practice.

Indexed as

Education, DentalHealth Knowledge, Attitudes, PracticeStudents, DentalAdultCross-Sectional StudiesFemaleGenerative Artificial IntelligenceHumansMalePakistanSurveys and QuestionnairesYoung AdultAI chatbotArtificial intelligenceChat-GPTDental studentsEducation

Identifiers

PMID41449250
PMCPMC12852851

What OpenQuestion holds

Textmetadata
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.