Evidence map›Paper›PMID 41366369›Full record

ArticleBMC oral health2025

Artificial intelligence usage among dental students/dentists of different educational level: a multi-country survey.

Passent Ellakany, Saman Tauqir, Saqib Ali, Sara S Mikhail

Abstract readMulticenter Study
In one paragraph

Article in BMC oral health, 2025. 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

4 authors.

Passent EllakanyDivision of Prosthodontics, Department of Restorative Sciences, School of Dentistry, University of Alabama at Birmingham, Alabama, United States. pellakany@gmail.com.ORCID 0000-0002-2995-8111
Saman TauqirDepartment of Physiology, Bahria University health sciences campus Karachi, Karachi, Pakistan.ORCID 0009-0005-9457-1123
Saqib AliDepartment of Biomedical Dental Sciences, College of Dentistry, Imam Abdulrahman Bin Faisal University, P.O Box, 1982, Dammam, 31441, Saudi Arabia.ORCID 0000-0002-2421-0753
Sara S MikhailDepartment of Pediatric Dentistry and Dental Public Health, Faculty of Dentistry, Alexandria University, Alexandria, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe field of dentistry is undergoing substantial changes due to advancements in dental AI, with its application gaining increasing attention within the profession. This study aimed to fill this gap by assessing the usage, and perceived barriers related to AI among dental students and professionals across different countries. Importantly, the focus is on educational contexts, involving both undergraduate and postgraduate dental students.

methodsA cross-sectional multi-country study was conducted via online questionnaire between March and July 2024 to assess perceptions of AI in dentistry. Individuals under 18 years old or lacking English language proficiency were excluded. The questionnaire had three sections: demographics, knowledge and awareness of AI in dentistry, and perceptions of AI's effectiveness in various dental conditions. Descriptive statistics and Chi-square test were done categorizing participants into undergraduate and postgraduate groups with a significance level set at p < 0.05.

resultsHalf of the participants (50.2%) had prior AI experience, with a significantly higher percentage among Graduates. Graduates used AI more frequently in prosthodontics, restorative dentistry and implantology (65.7%, 56.6%, 45.8% respectively; p < 0.05). While dental students had higher AI usage in treatment planning, periodontics and orthodontics (38.7%20.4%, 19.1% respectively; p < 0.05).

conclusionsGraduates showed higher AI usage, particularly in restorative dentistry and prosthodontics. Implementation of AI training into undergraduate and postgraduate curricula is recommended to maximize its benefits in dental education and practice.

Indexed as

Artificial IntelligenceDentistsStudents, DentalAdultCross-Sectional StudiesEducational StatusEducation, DentalFemaleHumansMaleSurveys and QuestionnairesYoung AdultArtificial intelligenceDecision makingKnowledgeStudentsUsage

Identifiers

PMID41366369
PMCPMC12801529

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.