ArticleBMC medical education2025
Attitudes and perceptions of dental students towards artificial intelligence.
Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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Who cites it
7 citing papers in PubMed.
- Assessing the Credibility of ChatGPT on Temporomandibular Disorders.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026Article
- Evaluation of parents' attitudes and perceptions regarding the use of artificial intelligence in dental practice: a cross-sectional survey.BMC oral health · 2026Article
- Medical students' attitudes, usage patterns, and associated factors with DeepSeek adoption in education: a cross-sectional study in China.BMC medical education · 2026Article
- Artificial intelligence in dentistry: knowledge, attitudes, and educational readiness among dental students and dentists.BMC medical education · 2026Article
- Knowledge, perception, and attitude of healthcare students towards artificial intelligence: a multi-center cross sectional study.BMC medical education · 2026Article
- Attitudes and perceptions of dental students and interns toward AI in dentistry: a cross-sectional survey in a Saudi population.BMC medical education · 2026Article
- Preparing future dentists for artificial intelligence: a cross-sectional study of perceptions and educational needs in China.Frontiers in public health · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence (AI) is rapidly transforming healthcare, including dentistry, through its applications in diagnosis, prosthetic planning, and oral disease detection. As future professionals, dental students play a vital role in integrating AI into clinical practice. However, little is known about their attitudes toward AI, particularly in low-resource settings such as Palestine.
methodsA cross-sectional survey was conducted among 305 dental students from four Palestinian universities using a validated 22-item questionnaire. Data were analyzed using descriptive statistics and chi-square tests (p < 0.05).
resultsAmong the 305 participants (232 females, 73 males), 77% reported basic knowledge of AI, with social media being the most common source (66.2%). Female students were significantly more likely than males to believe that AI will bring major advancements to dentistry (p = 0.04), and that it can be used for diagnostic (p = 0.030), prognostic (p = 0.045), and treatment planning purposes (p = 0.015), as well as in postgraduate training (p = 0.017). Those with prior AI knowledge or awareness of its dental applications showed greater enthusiasm for its diagnostic use (p = 0.004) and integration into dental education (p = 0.004 and p = 0.009, respectively).
conclusionPalestinian dental students demonstrate strong awareness and positive attitudes toward the use of AI in dentistry. Gender-based differences and ethical concerns emphasize the need for structured, inclusive, and responsible AI training within dental curricula.
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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.