Evidence map›Paper›PMID 41692680›Full record

ArticleOral diseases2026

Dental Students' Knowledge, Attitudes and Perceptions of Artificial Intelligence Tools to Aid in the Diagnosis of Oral Cancer and Oral Potentially Malignant Disorders.

Vlaho Brailo, Rosa María Lopez-Pintor, Molly Harte, Ana Andabak Rogulj, Danica Vidović Juras, Ivana Škrinjar, Marcio Diniz Freitas, Jacobo Limeres Posse, Luis Monteiro, Luis M Silva and 14 more

Abstract read
In one paragraph

Article in Oral diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

24 authors.

Vlaho BrailoUniversity of Zagreb, School of Dental Medicine, Clinic for Dentistry, University Clinical Hospital Centre, Zagreb, Croatia.ORCID https://orcid.org/0000-0002-8449-871X
Rosa María Lopez-PintorORALMED Research Group, Department of Dental Clinical Specialties, School of Dentistry, Complutense University of Madrid, Madrid, Spain.
Molly HarteOral Medicine, Guy's & St Thomas' NHS Foundation Trust, Guy's Hospital, London, UK.
Ana Andabak RoguljUniversity of Zagreb, School of Dental Medicine, Clinic for Dentistry, University Clinical Hospital Centre, Zagreb, Croatia.
Danica Vidović JurasUniversity of Zagreb, School of Dental Medicine, Clinic for Dentistry, University Clinical Hospital Centre, Zagreb, Croatia.
Ivana ŠkrinjarUniversity of Zagreb, School of Dental Medicine, Clinic for Dentistry, University Clinical Hospital Centre, Zagreb, Croatia.
Marcio Diniz FreitasSchool of Medicine and Dentistry, University of Santiago de Compostela, Santiago de Compostela, Spain.ORCID https://orcid.org/0000-0001-5349-1091
Jacobo Limeres PosseSchool of Medicine and Dentistry, University of Santiago de Compostela, Santiago de Compostela, Spain.
Luis MonteiroUNIPRO-Oral Pathology and Rehabilitation Research Unit, University Institute of Health Sciences (IUCS), CESPU, Gandra, Portugal.
Luis M SilvaUNIPRO-Oral Pathology and Rehabilitation Research Unit, University Institute of Health Sciences (IUCS), CESPU, Gandra, Portugal.
Jean-Cristophe FricainDental Faculty, Bordeaux University, Bordeaux University Hospital Center, Bordeaux, France.
Adrien NaveauDental Faculty, Bordeaux University, Bordeaux University Hospital Center, Bordeaux, France.
Giovanni LodiDipartimento di Scienze Biomediche, Chirurgiche e Odontoiatriche, Università degli Studi di Milano, Milan, Italy.ORCID https://orcid.org/0000-0002-0218-8292
Niccolò LombardiDipartimento di Scienze Biomediche, Chirurgiche e Odontoiatriche, Università degli Studi di Milano, Milan, Italy.ORCID https://orcid.org/0000-0001-8261-1179
Elena VaroniDipartimento di Scienze Biomediche, Chirurgiche e Odontoiatriche, Università degli Studi di Milano, Milan, Italy.ORCID https://orcid.org/0000-0002-7287-2188
José López LópezDepartment of Odontostomatology, Faculty of Medicine and Health Sciences (Dentistry), University of Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0001-8035-4412
Sonia Egido MorenoDepartment of Odontostomatology, Faculty of Medicine and Health Sciences (Dentistry), University of Barcelona, Barcelona, Spain.
Raj AriyaratnamUniversity of Manchester, Manchester, UK.
Ali Abdullah AlqarniDepartment of Oral & Maxillofacial Surgery and Diagnostic Sciences, Faculty of Dentistry, Taif University, Taif, Saudi Arabia.
Richeal Ní RíordáinCork University Dental School and Hospital, College of Medicine and Health, University College Cork, Cork, Ireland.
Owen AddisonCentre for Oral, Clinical & Translational Sciences, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK.
Yunpeng LiCentre for Oral, Clinical & Translational Sciences, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK.
Faleh TamimiCollege Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Canada.
Rui AlbuquerqueDepartment of Odontostomatology, Faculty of Medicine and Health Sciences (Dentistry), University of Barcelona, Barcelona, Spain.

Funding

Instituto de Salud Carlos III
6 · The paper itself

Abstract

backgroundArtificial intelligence (AI) has emerged as a promising tool in dentistry, particularly in the early detection of oral cancer (OC) and oral potentially malignant disorders (OPMDs). Data focused on European dental students and their knowledge/attitudes towards the use of AI for diagnosing OC/OPMDs are limited.

methodsA cross-sectional online survey was conducted among final-year dental students from six European countries. The questionnaire assessed knowledge, attitudes, and perceived barriers regarding AI in the diagnosis of OC and OPMDs. Data were analysed using descriptive and comparative statistics to evaluate differences between countries.

resultsA total of 328 students participated (75% female, 25% male). Most students stated that they had not received formal training in AI (61%) and emphasised the need to incorporate such training into the dental curriculum (47%). Students from Portugal had highest overall knowledge scores, but at the same time, lowest overall attitude scores. The most commonly perceived barrier was insufficient training (87.8%).

conclusionFinal-year dental students demonstrate positive attitudes towards AI aiding in diagnosis of OC and OPMDs, although significant knowledge and skill gaps remain. Integrating structured AI education into dental curricula is essential to prepare future academics and clinicians for responsible and effective AI use.

Indexed as

Artificial IntelligenceDiagnosis, Computer-AssistedHealth Knowledge, Attitudes, PracticeMouth NeoplasmsStudents, DentalAttitude of Health PersonnelCross-Sectional StudiesCurriculumEducation, DentalFemaleHumansMaleSurveys and Questionnairesartificial intelligencedental studentsoral canceroral potentially malignant disorders

Identifiers

PMID41692680
PMCPMC13248581

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.