Evaluating real-world performance of an automated offline glaucoma AI on a smartphone fundus camera across glaucoma severity stages.

Journal: PloS one
Published Date:

Abstract

PURPOSE: Leveraging an artificial intelligence system (AI) for glaucoma screening can mitigate the current challenges and provide prompt detection and management crucial in averting irreversible blindness. The study reports the real-world performance of a glaucoma AI system deployed on a smartphone-based fundus camera across various severities of glaucoma.

Authors

  • Sirisha Senthil
    VST Center for Glaucoma Care, LV Prasad Eye Institute, Hyderabad, India.
  • Divya Parthasarathy Rao
    Remidio Innovative Solutions, Inc, Glen Allen, Virginia.
  • Florian M Savoy
    AI&ML, Medios Technologies Pte Ltd, Remidio Innovative Solutions, Singapore.
  • Kalpa Negiloni
    Remidio Innovative Solutions Private Limited, Bengaluru, India.
  • Shreya Bhandary
    Remidio Innovative Solutions Private Limited, Bengaluru, India.
  • Raghava Chary
    VST Center for Glaucoma Care, LV Prasad Eye Institute, Hyderabad, India.
  • Garudadri Chandrashekar
    VST Center for Glaucoma Care, LV Prasad Eye Institute, Hyderabad, India.