ArticleHead & face medicine2023
Patients' perspectives on the use of artificial intelligence in dentistry: a regional survey.
Article in Head & face medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Barriers and Facilitators to Patient Acceptance of Artificial Intelligence in Health Care: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Robotic surgery vs dynamic navigation: does greater accuracy make the difference in implant dentistry?Evidence-based dentistry · 2026Article
- Trust in Artificial Intelligence-Generated Oral Health Information and Its Influence on Patient Decision-Making: A Cross-Sectional Study.Oral health & preventive dentistry · 2026Article
- Artificial Intelligence in Oral and Maxillofacial Surgery-A Narrative Review.Journal of clinical medicine · 2026Review
- Artificial Intelligence in Prehospital Tele-Emergency Medicine: A Survey of Acceptance and Attitudes.Healthcare (Basel, Switzerland) · 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
- Can AI chatbots be reliable in dental emergencies? quality assessment of Arabic responses to dental emergency inquiries and public attitudes toward their use.BMC oral health · 2026Article
- Constructs Influencing Patient Perceptions of Use of AI in Medical Imaging Analysis: Systematic Review.Interactive journal of medical research · 2026Review
- Predicting patient satisfaction in digital orthodontics using a KAC based model integrating AI support and risk stratification.Scientific reports · 2026Article
- The Role of Artificial Intelligence in Shaping the Doctor-Patient Relationship: A Narrative Review.Healthcare (Basel, Switzerland) · 2026Review
- Article
- Patient and dental practitioner acceptance of artificial intelligence in dental care: a cross-sectional study in Saudi Arabia's eastern province.Frontiers in oral health · 2026Article
- Knowledge and awareness of artificial intelligence among dental OPD patients at Patna medical college hospital.Bioinformation · 2026Article
- Artificial intelligence usage among dental students/dentists of different educational level: a multi-country survey.BMC oral health · 2025Article
- Patients' Knowledge and Perceptions Towards Digital Technologies in Dentistry: A Cross-Sectional Study.Dentistry journal · 2025Article
- Artificial intelligence in dentistry: awareness among dentists and computer scientists.Oral radiology · 2025Article
- Perception, usage, and concerns of artificial intelligence applications among postgraduate dental students: cross-sectional study.BMC medical education · 2025Article
- Impact of AI-Driven Technologies on Patient Satisfaction in General Dentistry: A Systematic Review and Meta-Analysis.Journal of pharmacy & bioallied sciences · 2025Article
- Dental Students' Opinions on Use of Artificial Intelligence: A Survey Study.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of artificial intelligence (AI) in dentistry is rapidly evolving and could play a major role in a variety of dental fields. This study assessed patients' perceptions and expectations regarding AI use in dentistry. An 18-item questionnaire survey focused on demographics, expectancy, accountability, trust, interaction, advantages and disadvantages was responded to by 330 patients; 265 completed questionnaires were included in this study. Frequencies and differences between age groups were analysed using a two-sided chi-squared or Fisher's exact tests with Monte Carlo approximation. Patients' perceived top three disadvantages of AI use in dentistry were (1) the impact on workforce needs (37.7%), (2) new challenges on doctor-patient relationships (36.2%) and (3) increased dental care costs (31.7%). Major expected advantages were improved diagnostic confidence (60.8%), time reduction (48.3%) and more personalised and evidencebased disease management (43.0%). Most patients expected AI to be part of the dental workflow in 1-5 (42.3%) or 5-10 (46.8%) years. Older patients (> 35 years) expected higher AI performance standards than younger patients (18-35 years) (p < 0.05). Overall, patients showed a positive attitude towards AI in dentistry. Understanding patients' perceptions may allow professionals to shape AI-driven dentistry in the future.
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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.