Bibliometric analyses of applications of artificial intelligence on tuberculosis.

Journal: International journal of mycobacteriology
Published Date: Jan 1, 2022

Abstract

BACKGROUND: Tuberculosis is one of the leading causes of death worldwide affecting mainly low- and middle-income countries. Therefore, the objective is to analyze the bibliometric characteristics of the application of artificial intelligence (AI) in tuberculosis in Scopus.

Authors

  • Miguel Cabanillas-Lazo
    Department of Academic, Grupo Peruano De Investigación Epidemiológica, Unidad Para La Generación Y Síntesis De Evidencias En Salud, Universidad San Ignacio De Loyola; Department of Academic, Sociedad Científica De San Fernando, Lima, Perú.
  • Carlos Quispe-Vicuña
    Department of Academic, Grupo Peruano De Investigación Epidemiológica, Unidad Para La Generación Y Síntesis De Evidencias En Salud, Universidad San Ignacio De Loyola; Department of Academic, Sociedad Científica De San Fernando, Lima, Perú.
  • Milagros Pascual-Guevara
    Department of Academic, Sociedad Científica De San Fernando; Department of Academic, Faculty of Medicine, Universidad Nacional Mayor De San Marcos, Lima, Perú.
  • John Barja-Ore
    Research Direction, Universidad Privada del Norte, Lima, Peru.
  • Maria Eugenia Guerrero
    Department of Academic, Universidad Nacional Mayor De San Marcos, Lima, Perú.
  • Arnaldo Munive-Degregori
    Postgraduate Department, Faculty of Dentistry, Universidad Nacional Mayor de San Marcos, Lima, Peru.
  • Frank Mayta-Tovalino
    Frank Mayta-Tovalino, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola (USIL), Lima, Peru, Phone: +51 1 317 1000, e-mail: fmayta@usil.edu.pe.

Keywords

External Resources

Popular Topics
Recent Journals