Synergistic AI-resident approach achieves superior diagnostic accuracy in tertiary ophthalmic care for glaucoma and retinal disease.

Journal: Frontiers in ophthalmology
Published Date: May 19, 2025

Abstract

INTRODUCTION: Artificial intelligence (AI) shows promise in ophthalmology, but its potential in tertiary care settings in Latin America remains understudied. We present a Mexican AI-powered screening tool and evaluate it against first-year ophthalmology residents in a tertiary care setting in Mexico City.

Authors

  • Dalia Camacho-García-Formentí
    Tech & Intelligence Department, PROSPERiA, Mexico City, Mexico.
  • Gabriela Baylón-Vázquez
    Glaucoma Department, Instituto de Oftalmología Fundación Conde de Valenciana Institución de Asistencia Privada (IAP), Mexico City, Mexico.
  • Karen Arriozola-Rodríguez
    Glaucoma Department, Instituto de Oftalmología Fundación Conde de Valenciana Institución de Asistencia Privada (IAP), Mexico City, Mexico.
  • Enrique Avalos-Ramirez
    Glaucoma Department, Instituto de Oftalmología Fundación Conde de Valenciana Institución de Asistencia Privada (IAP), Mexico City, Mexico.
  • Curt Hartleben-Matkin
    Glaucoma Department, Instituto de Oftalmología Fundación Conde de Valenciana Institución de Asistencia Privada (IAP), Mexico City, Mexico.
  • Hugo Valdez-Flores
    Retina Department, Hospital de Nuestra Señora de la Luz, Mexico City, Mexico.
  • Damaris Hodelin-Fuentes
    Ophthalmology Department, Hospital General Dr. Juan Bruno Zayas Alfonso, Santiago de Cuba, Cuba.
  • Alejandro Noriega
    Tech & Intelligence Department, PROSPERiA, Mexico City, Mexico.

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