<rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
   <ow:Publication rdf:about="oai:digibug.ugr.es:10481/84011">
      <dc:title>Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry</dc:title>
      <dc:creator>Karan Romero, Milan</dc:creator>
      <dc:creator>Salazar Gamarra, Rodrigo Ernesto</dc:creator>
      <dc:creator>León Ríos, Ximena Alejandra</dc:creator>
      <dc:subject>Artificial intelligence</dc:subject>
      <dc:subject>Machine learning</dc:subject>
      <dc:subject>Deep learning</dc:subject>
      <dc:subject>Dentistry</dc:subject>
      <dc:subject>Attitudes</dc:subject>
      <dc:subject>Perceptions</dc:subject>
      <dc:description>Background: The implementation of artificial intelligence brings with it a great change in&#xd;
health care, however, there is a discrepancy about the perceptions and attitudes that dental students&#xd;
present towards these new technologies. Methods: The study design was observational, descriptive,&#xd;
and cross-sectional. A total of 200 dental students who met the inclusion criteria were surveyed&#xd;
online. For the qualitative variables, descriptive statistical measures were obtained, such as absolute&#xd;
and relative frequencies. For the comparison of the main variables with the type of educational&#xd;
institution, sex and level of education, the chi-square test or Fisher0s exact test was used according&#xd;
to the established assumptions with a level of statistical significance of p &lt; 0.05 and a confidence&#xd;
level of 95%. Results: The results indicated that 86% of the students surveyed agreed that artificial&#xd;
intelligence will lead to great advances in dentistry. However, 45% of the participants disagreed that&#xd;
artificial intelligence would replace dentists in the future. In addition, the respondents agreed that the&#xd;
use of artificial intelligence should be part of undergraduate and postgraduate studies with 67% and&#xd;
72% agreement rates respectively. Conclusion: The attitudes and perceptions of the students indicate&#xd;
that 86% agreed that artificial intelligence will lead to great advances in dentistry. This suggests a&#xd;
bright future for the relationship between dentists and artificial intelligence</dc:description>
      <dc:date>2023-07-26T09:01:58Z</dc:date>
      <dc:date>2023-07-26T09:01:58Z</dc:date>
      <dc:date>2023-05-05</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>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]</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10481/84011</dc:identifier>
      <dc:identifier>10.3390/dj11050125</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Atribución 4.0 Internacional</dc:rights>
      <dc:publisher>MDPI</dc:publisher>
   </ow:Publication>
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