AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings.

Journal: JAMA network open
PMID: 40299381

Abstract

IMPORTANCE: Retinopathy of prematurity (ROP) is the leading cause of preventable childhood blindness worldwide. If detected and treated early, ROP-associated blindness is preventable; however, identifying patients who might respond to treatment requires screening over time, which is challenging in low-resource settings where access to pediatric ophthalmologists and pediatric ocular imaging cameras is limited.

Authors

  • Anthony Ortiz
    AI for Good Research Lab, Microsoft, Redmond, WA, United States of America.
  • Susana Patiño
    Business Data Evolution, Mexico City, Mexico.
  • Jehú Torres
    Microsoft AI for Good Lab, Redmond, Washington.
  • Juan Mármol
    Business Data Evolution, Mexico City, Mexico.
  • Carlos Serafin
    Business Data Evolution, Mexico City, Mexico.
  • Rahul Dodhia
    AI for Good Research Lab, Microsoft, Redmond, Washington 98052, USA.
  • Gabriela Saidman
    Ophthalmology Department, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
  • Vanina Schbib
    Ophthalmology Department, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
  • Brenda Peña
    Ophthalmology Department, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
  • Guillermo Monteoliva
    Ophthalmology Department, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
  • María Ana Martinez-Castellanos
    Asociación Para Evitar la Ceguera en México, Mexico City, Mexico.
  • William B Weeks
    AI for Good Lab, Microsoft Corporation, Redmond, WA, United States.
  • Juan M Lavista Ferres
    AI for Good Research Lab, Microsoft, Redmond, WA, United States of America.

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