ArticleCureus2025
Exploring the Awareness and Application of Artificial Intelligence in Dentistry: A Cross-Sectional Analysis of Dentists and Patients.
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.
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
1 citing paper in PubMed.
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
Background Artificial intelligence (AI) is rapidly transforming healthcare, including the field of dentistry, by enhancing diagnostic accuracy, treatment planning, and patient management. However, the perception and extent of AI utilization among dentists and patients remain largely unexplored. This study aims to assess the awareness, perception, and application of AI in dentistry among both practitioners and patients. Methodology A cross-sectional survey was conducted among dentists and patients to evaluate their familiarity, perception, and utilization of AI-powered tools in dental practice. A structured questionnaire was used to collect data on AI awareness, perceived benefits and concerns, and its application in diagnosis, treatment planning, and patient engagement. Statistical analyses, including chi-square tests, were performed to identify associations between demographic variables and AI perception. Results The findings revealed that a significant proportion of dentists (60%) were aware of AI applications in dentistry, with higher familiarity among those with advanced education and professional experience. However, actual utilization remained limited, primarily due to concerns about reliability, cost, and ethical implications. Patients (60%) demonstrated varied levels of awareness, with younger and more educated individuals expressing a greater interest in AI-assisted dental care. Conclusions AI is perceived as beneficial in enhancing diagnostic accuracy and treatment efficiency, yet skepticism persists regarding its potential to replace human expertise. While AI is acknowledged as a valuable tool in dentistry, its adoption remains in the early stages. Increased education and training initiatives are necessary to bridge the knowledge gap and improve acceptance among both dentists and patients. Addressing ethical concerns and integrating AI seamlessly into dental practice could enhance its utilization, ultimately improving patient outcomes and clinical efficiency.
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Registered trials
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