Evidence map›Paper›PMID 41484594›Full record

ArticleBMC medical education2026

Attitudes and perceptions of dental students and interns toward AI in dentistry: a cross-sectional survey in a Saudi population.

Abdulfatah Samih Alazmah, Hassan Hamed Kaabi, AlWaleed Fahad Abushanan, Ahmed Sulaiman Altuwalah, Rafif Faisal Alshenaiber, Mohammed Ali Abuelqomsan, Qamar Mohammadziad Hashem

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Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Abdulfatah Samih Alazmah *Department of Pediatric Dentistry, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia. a.alazmah@psau.edu.sa.
Hassan Hamed Kaabi *Department of Oral Medicine and Diagnostic Sciences, College of Dentistry, King Saud University, P.O. Box 60169, Riyadh, 11545, Saudi Arabia.
AlWaleed Fahad AbushananDepartment of Pediatric Dentistry, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia.
Ahmed Sulaiman AltuwalahDepartment of Restorative and Prosthodontic Dental Sciences, College of Dentistry, Majmaah University, Al-Majmaah, 11952, Saudi Arabia.
Rafif Faisal AlshenaiberDepartment of Prosthetic Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia.
Mohammed Ali AbuelqomsanDepartment of Conservative Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia.
Qamar Mohammadziad HashemDepartment of Conservative Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence (AI) is transforming healthcare, including dentistry, by enhancing diagnostics, treatment planning, and patient care; therefore, understanding dental students’ perceptions of AI is essential for integrating AI education into dental curricula. This study aimed to assess the knowledge, attitudes, and perceptions of AI among dental students and interns in Saudi Arabia to identify gaps and provide insights that may guide future curriculum planning.

methodsFourth- and fifth-year dental students and interns from three dental schools in Saudi Arabia completed a validated questionnaire to assess their knowledge, perceptions, and attitudes toward AI. The data were analysed using descriptive and inferential statistics, including the chi-square test with a p value < 0.05.

resultsA total of 236 participants completed the survey (response rate: 86.44%) with most (95%) participants reporting familiarity with AI. Engagement in AI-related discussions varied, with higher participation among interns (85.1%) than fourth-year students (50%). AI’s role in patient care was widely accepted, particularly in diagnostic imaging (70.8–76.6%) and patient referrals (54.3–61.1%). Most participants (77.8–92.9%) supported integrating AI into dental curricula but only 55.7–60.6% felt adequately prepared to work with AI tools. Ethical concerns and job displacement fears were also noted.

conclusionsDespite high interest in AI, many dental students and interns lack adequate training and confidence in its use. Structured, hands-on education and ethical guidance are needed to bridge the gap between awareness and practical readiness, ensuring responsible AI integration into dental practice.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelEducation, DentalHealth Knowledge, Attitudes, PracticeInternship and ResidencyStudents, DentalAdultCross-Sectional StudiesCurriculumFemaleHumansMaleSaudi ArabiaSurveys and QuestionnairesArtificial intelligenceDental curriculumDental educationDental studentsDentistryPerception

Identifiers

PMID41484594
PMCPMC12866005

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.