Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry
Metadata
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MDPI
Materia
Artificial intelligence Machine learning Deep learning Dentistry Attitudes Perceptions
Date
2023-05-05Referencia bibliográfica
Karan-Romero, M.; Salazar-Gamarra, R.E.; Leon-Rios, X.A. Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry. Dent. J. 2023, 11, 125. [https://doi.org/10.3390/dj11050125]
Sponsorship
Research Direction of Universidad Peruana de Ciencias Aplicadas EXPOSTUPC- 2023Abstract
Background: The implementation of artificial intelligence brings with it a great change in
health care, however, there is a discrepancy about the perceptions and attitudes that dental students
present towards these new technologies. Methods: The study design was observational, descriptive,
and cross-sectional. A total of 200 dental students who met the inclusion criteria were surveyed
online. For the qualitative variables, descriptive statistical measures were obtained, such as absolute
and relative frequencies. For the comparison of the main variables with the type of educational
institution, sex and level of education, the chi-square test or Fisher0s exact test was used according
to the established assumptions with a level of statistical significance of p < 0.05 and a confidence
level of 95%. Results: The results indicated that 86% of the students surveyed agreed that artificial
intelligence will lead to great advances in dentistry. However, 45% of the participants disagreed that
artificial intelligence would replace dentists in the future. In addition, the respondents agreed that the
use of artificial intelligence should be part of undergraduate and postgraduate studies with 67% and
72% agreement rates respectively. Conclusion: The attitudes and perceptions of the students indicate
that 86% agreed that artificial intelligence will lead to great advances in dentistry. This suggests a
bright future for the relationship between dentists and artificial intelligence