Evidence map›Paper›PMID 42458426›Full record

ArticleBMC medical education2026

Digital dentistry among clinical-year dental students: awareness, attitudes, and curriculum expectations.

İbrahim Tevfik Gülşen, Elif Gamze Yıldız Gökşen, Etem Tayfun Gökşen, Enes Mustafa Aşar, Ayşe Meşe

Abstract read
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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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

5 authors.

İbrahim Tevfik GülşenDepartment of Oral and Maxillofacial Radiology, Faculty of Dentistry, Gaziantep University, Üniversite Blv., Gaziantep, 27310, Türkiye. ibrahimtevfikgulsen@gmail.com.
Elif Gamze Yıldız GökşenDepartment of Prosthodontics, Faculty of Dentistry, Dicle University, Diyarbakır, Türkiye.
Etem Tayfun GökşenDepartment of Prosthodontics, Faculty of Dentistry, Dicle University, Diyarbakır, Türkiye.
Enes Mustafa AşarDepartment of Pediatric Dentistry, Faculty of Dentistry, Selçuk University, Konya, Türkiye.
Ayşe MeşeDepartment of Prosthodontics, Faculty of Dentistry, Dicle University, Diyarbakır, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital technologies - including computer-aided design and manufacturing systems, three-dimensional printing, digital radiography, intraoral scanners, and artificial intelligence - are increasingly central to clinical dentistry, yet their integration into undergraduate curricula remains uneven. Clinical-year students, approaching graduation and patient-facing practice, are a critical group in whom to assess this transition, but evidence on how they perceive these technologies and relate them to curriculum expectations is limited. This study evaluated the awareness, attitudes, and curriculum expectations of clinical-year dental students regarding digital dentistry.

methodsA descriptive cross-sectional survey was conducted among fourth- and fifth-year students at a single dental faculty using a census-based approach. An 11-item online questionnaire assessed familiarity with five digital technologies, attitudes, and future professional perspectives, with an attention-check item and electronic informed consent. The questionnaire underwent multi-step validation, including expert-panel content validity, exploratory factor analysis, and internal-consistency reliability. Group comparisons by sex and year of study were examined with chi-square tests and Cramér's V, applying the Benjamini-Hochberg procedure to control the false discovery rate.

resultsOf 187 included students (85.0% response rate), the questionnaire showed strong content validity (scale-level content validity index = 0.94) and acceptable reliability (Cronbach's alpha = 0.83 for familiarity and 0.92 for the positive-attitude scale). Familiarity was highest for digital radiography and lowest for artificial intelligence. Attitudes were strongly positive: most students reported high interest in digital dentistry and a clear desire for greater curricular coverage, and 74.3% considered digital dentistry teaching at their faculty insufficient. Apparent differences by sex and year of study did not remain statistically significant after correction for multiple comparisons.

conclusionsClinical-year dental students held favourable attitudes toward digital dentistry and expressed strong demand for expanded training, yet their self-reported familiarity remained modest and was lowest for artificial intelligence. This gap between motivation and perceived provision highlights a concrete target for curriculum development, suggesting that undergraduate dental education should strengthen structured, hands-on exposure to digital technologies - particularly artificial intelligence - to better prepare graduates for contemporary clinical practice.

Indexed as

Attitude of Health PersonnelCurriculumEducation, DentalHealth Knowledge, Attitudes, PracticeStudents, DentalAdultCross-Sectional StudiesDigital HealthDigital MediaFemaleHumansMaleSurveys and QuestionnairesCurriculum developmentDental educationDigital dentistryDigital technologyStudent attitudesUndergraduate dental students

Identifiers

PMID42458426
PMCPMC13660230

What OpenQuestion holds

Textmetadata
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Registered trials

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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.