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Metaverse Application in Dental Education and Patient Care - A Questionnaire Based Study
Corresponding Author(s) : Faeza Sirin
International Journal of Allied Medical Sciences and Clinical Research,
Vol. 14 No. 1 (2026): 2026 Volume -14 - Issue 1
Abstract
The metaverse, a convergence of digital technologies is reshaping various industries and holds significant potential to revolutionize dentistry. The study aimed to appraise the knowledge, understanding, and awareness of dental students and professionals regarding the application of the metaverse in dental practice. A cross-sectional study was administered to gather insights from both dental students and professionals, evaluating their familiarity with metaverse technologies such as XR, Blockchain, Cloud Computing, Digital Twins, ax nd AI, and their perceived potential in patient care, education, and training. A total of 201 participants were involved in the study. The results revealed varying levels of awareness among participants, with a majority expressing interest and enthusiasm towards integrating metaverse technologies into their practice and education. However, concerns regarding technical proficiency, privacy, and data security were also identified as potential barriers to adoption. The findings highlight the need for targeted educational initiatives to enhance awareness and proficiency in metaverse technologies among dental professionals, ensuring they are well-equipped to leverage its transformative potential for improved patient care and education in dentistry.
Aim: To assess the knowledge regarding effectiveness and usability regarding Meta verse acceptance in Dentistry
Objective: To assess the knowledge regarding the effectiveness, usability, and attitude regarding the acceptance of metaverse in various dental contexts.
Method: A cross-sectional survey was conducted among 201 dental students, comprising 64 males (31.8%) and 137 females (68.2%), including. The survey included 12 questions exploring the metaverse application in dental education and patient care were analyzed based on gender, age and year of study using chi-square tests to identify statistically significant differences.
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