Inteligencia artificial en la enseñanza de la Odontología: análisis bibliométrico

Autores/as

  • Eduarda Gomes Onofre de Araújo Universidade Federal da Paraíba
  • Samara Lavínnya Serrano de Souza Araújo Universidade Federal da Paraíba
  • Lucas do Nascimento Barbosa Universidade Federal da Paraíba
  • Júlio César Guimarães Freire Universidade Federal da Paraíba
  • Matheus Victor de Carvalho Rufino Universidade Federal da Paraíba
  • Clauirton de Albuquerque Siebra Universidade Federal da Paraíba
  • Lafayette Batista Melo Instituto Federal da Paraíba
  • Januária de Medeiros Silva Faculdade de Ciências Médicas da Paraíba
  • Carmem Silva L. Dalle Piagge Universidade Federal da Paraíba
  • Cláudia Batista Mélo Universidade Federal da Paraíba

DOI:

https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1301

Palabras clave:

Odontología, Enseñanza, Inteligencia Artificial

Resumen

Objetivo: Realizar un análisis bibliométrico de la inteligencia artificial en la enseñanza de la Odontología para identificar brechas en la literatura y sintetizar descubrimientos actuales en el área. Método: Investigación bibliométrica de carácter exploratorio y descriptivo. Se seleccionaron las bases de datos de WoS y Scopus para llevar a cabo el estudio y posterior análisis de los datos. Se excluyeron artículos en edición editorial, cartas y capítulos de libros. Resultados: 93 registros, publicados en 49 revistas indexadas en las bases de datos, con 314 autores afiliados a 199 instituciones responsables de las publicaciones en 34 países diferentes. Tras la eliminación de duplicados, se incluyeron 74 referencias para el análisis completo. Todos los artículos seleccionados fueron analizados según datos bibliométricos preestablecidos. Conclusión: Es fundamental considerar la escasez de trabajos científicos que abordan este tema y la necesidad continua de investigaciones para maximizar los beneficios de su incorporación en el ámbito académico.

Biografía del autor/a

Eduarda Gomes Onofre de Araújo, Universidade Federal da Paraíba

Mestranda, Programa de Pós-Graduação em Odontologia, Universidade Federal da Paraíba, João Pessoa (PB), Brasil.

Samara Lavínnya Serrano de Souza Araújo, Universidade Federal da Paraíba

Graduando Odontologia, Universidade Federal da Paraíba, João Pessoa (PB), Brasil.

Lucas do Nascimento Barbosa, Universidade Federal da Paraíba

Graduando Odontologia, Universidade Federal da Paraíba, João Pessoa (PB), Brasil.

Júlio César Guimarães Freire, Universidade Federal da Paraíba

Graduando Odontologia, Universidade Federal da Paraíba, João Pessoa (PB), Brasil.

Matheus Victor de Carvalho Rufino, Universidade Federal da Paraíba

Graduando Odontologia, Universidade Federal da Paraíba, João Pessoa (PB), Brasil.

Clauirton de Albuquerque Siebra, Universidade Federal da Paraíba

Doutor/Professor, Departamento de Informática, Universidade Federal da Paraíba, João Pessoa (PB), Brasil.

Lafayette Batista Melo, Instituto Federal da Paraíba

Doutor/Professor, Unidade Acadêmica de Informática, Instituto Federal da Paraíba, João Pessoa (PB), Brasil.

Januária de Medeiros Silva, Faculdade de Ciências Médicas da Paraíba

Mestre/Professora, Curso de Medicina, Faculdade de Ciências Médicas da Paraíba, João Pessoa (PB), Brasil.

Carmem Silva L. Dalle Piagge, Universidade Federal da Paraíba

Doutora/Professora, Departamento de Odontologia Restauradora, Universidade Federal da Paraíba, João Pessoa (PB), Brasil.

Cláudia Batista Mélo, Universidade Federal da Paraíba

Doutora/Professora, Departamento de Clínica e Odontologia Social, Universidade Federal da Paraíba, João Pessoa (PB), Brasil.

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Publicado

2024-11-19

Cómo citar

de Araújo, E. G. O., Araújo, S. L. S. de S., Barbosa, L. do N., Freire, J. C. G., Rufino, M. V. de C., Siebra, C. de A., … Mélo, C. B. (2024). Inteligencia artificial en la enseñanza de la Odontología: análisis bibliométrico. Journal of Health Informatics, 16(Especial). https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1301

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