ArticleBMC oral health2026
Dentists', dental students' and patients' knowledge, attitudes and practices on artificial intelligence: a scoping review.
Article in BMC oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Who cites it
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionArtificial Intelligence (AI) is emerging as a transformative technology in dental practice, promising improved diagnostic accuracy, personalized treatment planning, and workflow optimization.
objectiveWe aimed at examining knowledge, attitudes, perceptions, and practices (KAP) associated with the use of Artificial Intelligence in dentistry. MATERIALS AND
methodsA comprehensive bibliographic search was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. Databases included PubMed and Google Scholar, along with official reports from international organizations such as World Health Organization, European Commission, and Organization for Economic Co-operation and Development. Studies published between 2014 and 2025 examining dentists', dental students' and patients' knowledge, attitudes and practices (KAP) related to AI were included. Data extraction included study characteristics, populations, AI applications, and key findings.
resultsDental professionals generally demonstrate positive attitudes toward AI and recognize its potential benefits. Knowledge levels were generally reported as moderate across studies. However, many studies report limited confidence in using AI-based tools and express concerns regarding data security, ethical implications, and over-reliance on automated systems. The need for structured training and education in AI applications was consistently highlighted.
conclusionThis scoping review indicates that dentists and dental students demonstrate moderate knowledge, generally positive attitudes, and limited clinical practices regarding Artificial Intelligence. The findings reveal a clear gap between awareness and implementation, primarily driven by insufficient training and practical exposure. Strengthening education and addressing barriers to adoption are essential to support the effective integration of AI in dental practice.
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Registered trials
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.