Bulletin of Stomatology and Maxillofacial Surgery
ISSN 1829-006X
2025; 333–338
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ARTIFICIAL INTELLIGENCE AS AN EMERGING PARADIGM IN ORAL AND MAXILLOFACIAL SURGERY: A QUESTIONNAIRE-BASED STUDY IN KERALA

Received: 2026-04-08 · Published: 2025-06-30

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Original title
ARTIFICIAL INTELLIGENCE AS AN EMERGING PARADIGM IN ORAL AND MAXILLOFACIAL SURGERY: A QUESTIONNAIRE-BASED STUDY IN KERALA
Author
Shradha Anil Kuzhivilayil
Source journal
Bulletin of Stomatology and Maxillofacial Surgery
Published
2025-06-30
Licence
Creative Commons Attribution-NonCommercial 4.0 International
Original
https://doi.org/10.58240/1829006X-2025.21.5-333

Abstract

Objective: The objective of this study was to evaluate the attitude and perceptions of undergraduate and postgraduate dental students, and practicing clinicians towards the adoption of Artificial Intelligence in the Oral and Maxillofacial surgery curriculum. Materials and Methods: To conduct a study on this, the online structured questionnaires administered through Google Forms were used in the state of Kerala in India during a period of 3 months. The questions of interest were about participants’ knowledge of artificial intelligence, the perceived benefits and drawbacks of its use in academic or clinical contexts. Results: A total of 300 respondents (100 undergraduates, 100 postgraduates, and 100 clinicians) completed the survey. All groups appeared to have a generally positive outlook on the integration of artificial intelligence. While the clinical benefits were highlighted, concerns were expressed by postgraduate students regarding the complexity and potential inaccuracies of artificial intelligence-generated results. Artificial Intelligence was regarded by practitioners as a tool to improve treatment quality, but it was also perceived to face issues such as a shortage of awareness, high training requirements, and public acceptance. Conclusion: Finally, the study shows that artificial intelligence is perceived broadly as beneficial as an adjunct in the education and practice of dentistry. Insights generated above can be used as a valuable baseline to devise educational and clinical interventions aiming at humanizing the progression of artificial intelligence in oral healthcare delivery systems.
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