Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry

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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...

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Detalles Bibliográficos
Autores: Karan-Romero, Milan, Salazar-Gamarra, Rodrigo Ernesto, Leon-Rios, Ximena Alejandra
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/668598
Enlace del recurso:http://hdl.handle.net/10757/668598
Nivel de acceso:acceso abierto
Materia:artificial intelligence
attitudes
deep learning
dentistry
machine learning
perceptions
Artificial intelligence
Health care
Dental students
New technologies
Descriptive statistical measures
Confidence level of 95%
Advances in dentistry
Undergraduate and postgraduate studies
Attitudes and perceptions
Relationship between dentists and artificial intelligence
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dc.title.es_PE.fl_str_mv Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry
title Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry
spellingShingle Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry
Karan-Romero, Milan
artificial intelligence
attitudes
deep learning
dentistry
machine learning
perceptions
Artificial intelligence
Health care
Dental students
New technologies
Descriptive statistical measures
Confidence level of 95%
Advances in dentistry
Undergraduate and postgraduate studies
Attitudes and perceptions
Relationship between dentists and artificial intelligence
title_short Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry
title_full Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry
title_fullStr Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry
title_full_unstemmed Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry
title_sort Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry
author Karan-Romero, Milan
author_facet Karan-Romero, Milan
Salazar-Gamarra, Rodrigo Ernesto
Leon-Rios, Ximena Alejandra
author_role author
author2 Salazar-Gamarra, Rodrigo Ernesto
Leon-Rios, Ximena Alejandra
author2_role author
author
dc.contributor.author.fl_str_mv Karan-Romero, Milan
Salazar-Gamarra, Rodrigo Ernesto
Leon-Rios, Ximena Alejandra
dc.subject.es_PE.fl_str_mv artificial intelligence
attitudes
deep learning
dentistry
machine learning
perceptions
Artificial intelligence
Health care
Dental students
New technologies
Descriptive statistical measures
Confidence level of 95%
Advances in dentistry
Undergraduate and postgraduate studies
Attitudes and perceptions
Relationship between dentists and artificial intelligence
topic artificial intelligence
attitudes
deep learning
dentistry
machine learning
perceptions
Artificial intelligence
Health care
Dental students
New technologies
Descriptive statistical measures
Confidence level of 95%
Advances in dentistry
Undergraduate and postgraduate studies
Attitudes and perceptions
Relationship between dentists and artificial intelligence
description 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 Fisher′s 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.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-09-08T00:26:28Z
dc.date.available.none.fl_str_mv 2023-09-08T00:26:28Z
dc.date.issued.fl_str_mv 2023-05-01
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dc.identifier.doi.none.fl_str_mv 10.3390/dj11050125
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dc.identifier.eissn.none.fl_str_mv 23046767
dc.identifier.journal.es_PE.fl_str_mv Dentistry Journal
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dc.language.iso.es_PE.fl_str_mv eng
language eng
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dc.source.es_PE.fl_str_mv Repositorio Académico - UPC
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
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instname_str Universidad Peruana de Ciencias Aplicadas
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dc.source.journaltitle.none.fl_str_mv Dentistry Journal
dc.source.volume.none.fl_str_mv 11
dc.source.issue.none.fl_str_mv 5
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spelling 441def7d8151a4ff68e7d91ae0469136245904304a5dcb96b60875eedfa8a2392258f84e244ad5c10b58123288703eb8Karan-Romero, MilanSalazar-Gamarra, Rodrigo ErnestoLeon-Rios, Ximena Alejandra2023-09-08T00:26:28Z2023-09-08T00:26:28Z2023-05-0110.3390/dj11050125http://hdl.handle.net/10757/66859823046767Dentistry Journal2-s2.0-85160252264SCOPUS_ID:851602522640000 0001 2196 144XBackground: 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 Fisher′s 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. 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