ArticleBMC medical informatics and decision making2025
Artificial intelligence in dentistry: insights and expectations from Swiss dental professionals.
Article in BMC medical informatics and decision making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Artificial Intelligence in Oral and Maxillofacial Surgery-A Narrative Review.Journal of clinical medicine · 2026Review
- Digital Intelligence in Dental Education: A Bibliometric Analysis.International dental journal · 2026Review
- Predicting patient satisfaction in digital orthodontics using a KAC based model integrating AI support and risk stratification.Scientific reports · 2026Article
- A Clinical Decision-Making Algorithm for Botulinum Toxin Use in Temporomandibular Disorders and Bruxism.Journal of clinical medicine · 2026Article
- Exploring Senior Dental Students' Readiness and Perceptions of Artificial Intelligence in Dentistry: Insights From a Cross-Sectional Study.International journal of dentistry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe goal of this study was to explore Swiss dentists' opinions on artificial intelligence (AI) and illustrate possible correlations to sex, age or professional background.
methodsAn online questionnaire was designed and sent to 1121 Swiss dentists by e-mail. It included questions about current feelings, hopes and worries regarding the future of AI in dentistry and enquired habitual and professional use of AI tools.
resultsAfter initial screening, 114 returned questionnaires were included in the final analysis of gathered data. This study revealed that 21.9% of respondents reported using AI in dentistry at least once a week. No significant differences were found between male and female participants regarding their perceptions of AI safety and utility (p = 0.823); however, a significant negative correlation was found between participants' age and their belief in AI's utility (p = 0.049). The belief that AI might replace jobs in the future correlated with lower perceived AI utility.
conclusionsThe findings provide insight into AI's role in Swiss dentistry, highlighting areas for future research. Greater emphasis on digital medicine and AI in dental education is encouraged to advance the field and enhance oral health-related quality of life.
Indexed as
Identifiers
What OpenQuestion holds
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.