ArticleCureus2025
Exploring Knowledge and Perception of Artificial Intelligence in Teaching Dental Hospitals of Peshawar: A Cross-Sectional Study.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Responsible Clinical AI in Dentistry: Trust, Professional Autonomy, and Perceptions of Accountability Across Stakeholders in Romania-A Multidisciplinary Cross-Sectional Survey.Healthcare (Basel, Switzerland) · 2026Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence (AI) has become an essential tool in all fields, including dentistry. Different levels of familiarity with the knowledge regarding AI and perception among dental professionals exist globally, with many advocating for its integration into the curriculum. However, highlighting ethical concerns like data privacy, biases, and job displacement must be addressed to ensure its responsible implementation in dentistry.
objectiveThis study aimed to assess the knowledge and perception of AI in dentistry among dentists working in teaching dental hospitals of Peshawar.
methodsThis analytical cross-sectional study was conducted from January 2024 to June 2024 at Sardar Begum Dental College and Hospital (SBDC). The population included 475 total dentists, including house officers, postgraduate trainees, and faculty members, selected through a census sampling technique. Participants were required to have a valid Pakistan Medical & Dental Council (PMDC) registration and willingness to participate, while those unwilling or unavailable were excluded.
resultsAmong the 475 participants, 49.3% had low knowledge, 48% moderate, and 2.7% high. Faculty members demonstrated greater knowledge compared to house officers and trainees. Most participants agreed that AI enhances efficiency and quality in dentistry and should be incorporated into the curriculum. Ethical and data privacy concerns were more pronounced among younger participants. Interest in learning more about AI was high, particularly among house officers. Perceptions varied significantly by designation and age, but not by gender.
conclusionAlthough knowledge of AI in dentistry remains limited, attitudes toward its integration are largely positive. Bridging knowledge gaps and addressing ethical challenges are essential for the effective and responsible incorporation of AI into dental education and clinical practice.
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Registered trials
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