Evidence map›Paper›PMID 39340812›Full record

ArticleEuropean journal of dental education : official journal of the Association for Dental Education in Europe2025

Attitudes and Perceptions of Australian Dentists and Dental Students Towards Applications of Artificial Intelligence in Dentistry: A Survey.

Shwetha Hegde, Shanika Nanayakkara, Ashleigh Jordan, Omar Jeha, Usaamah Patel, Vivian Luu, Jinlong Gao

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Article in European journal of dental education : official journal of the Association for Dental Education in Europe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

7 authors.

Shwetha HegdeDentomaxillofacial Radiology, Sydney Dental School, University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-1429-9149
Shanika NanayakkaraSydney Dental School, Institute of Dental Research, Westmead Centre for Oral Health, University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-5479-9650
Ashleigh JordanSydney Dental School, University of Sydney, Sydney, New South Wales, Australia.
Omar JehaSydney Dental School, University of Sydney, Sydney, New South Wales, Australia.
Usaamah PatelSydney Dental School, University of Sydney, Sydney, New South Wales, Australia.
Vivian LuuSydney Dental School, University of Sydney, Sydney, New South Wales, Australia.
Jinlong GaoSydney Dental School, Institute of Dental Research, Westmead Centre for Oral Health, University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-5153-5393

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs artificial intelligence (AI) rapidly evolves in dentistry, understanding dentists' and dental students' perspectives is key. This survey evaluated Australian dentists' and students' attitudes and perceptions of AI in dentistry.

methodsAn online questionnaire developed on Qualtrics was distributed among registered Australian dentists and students enrolled in accredited Australian dental or oral health programmes. Descriptive and bivariate analyses were used to examine the demographic variables and participant attitudes.

results177 responses were received, and 155 complete responses were used in data analysis. 54.8% were aware of dental AI applications, but 70.3% could not name a specific AI software. A majority (91.6%) viewed AI as a supportive tool, with 69% believing that it would be beneficial in clinical tasks and 35.6% expecting it to perform similarly to an average specialist. 40% anticipated that dental AI would be routinely used in the next 5-10 years, with more dental students expecting this short-term integration. Concerns included job displacement, inflexibility in patient care, and mistrust of AI's accuracy. Attitudes towards AI were influenced by age, gender, clinical experience and technological proficiency.

conclusionsThe survey underscores the potential of AI to revolutionise dental care, enhancing clinical workflows and decision-making. However, challenges like trust in AI and ethical concerns remain. It is recommended that practising dentists receive hands-on training with AI tools and continuing dental education programmes. Integrating AI into dental curricula and fostering interdisciplinary teaching and research collaborations between computer science and dentistry is necessary to prepare graduates to use AI effectively and responsibly.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelDentistryDentistsEducation, DentalStudents, DentalAdultAustraliaFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adultartificial intelligenceattitudesdentistryperceptionsurvey

Identifiers

PMID39340812
PMCPMC11729985

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.