Artificial intelligence in dentistry education: a bibliometric analysis
DOI:
https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1301Keywords:
Dentistry, Teaching, Artificial intelligenceAbstract
Objective: To conduct a bibliometric analysis on the use of artificial intelligence in dental education, aiming to identify gaps in the literature and synthesize current findings in the field. Method: This is an exploratory and descriptive bibliometric research. The WoS and Scopus databases were selected for the study and subsequent data analysis. Articles in editorial edition, letters, and book chapters were excluded. Results: A total of 93 records were obtained, published in 49 journals indexed in the databases, with 314 authors affiliated with 199 institutions responsible for publications in 34 different countries. After removing duplicates, 74 references were included for full analysis. All selected articles were analyzed according to pre-established bibliometric data. Conclusion: It is crucial to consider the scarcity of scientific works addressing this topic and the continuous need for research to maximize the benefits of its incorporation into the academic environment.
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