Autonomous screening for laser photocoagulation in fundus images using deep learning.

Journal: The British journal of ophthalmology
Published Date: May 21, 2024

Abstract

BACKGROUND: Diabetic retinopathy (DR) is a leading cause of blindness in adults worldwide. Artificial intelligence (AI) with autonomous deep learning algorithms has been increasingly used in retinal image analysis, particularly for the screening of referrable DR. An established treatment for proliferative DR is panretinal or focal laser photocoagulation. Training autonomous models to discern laser patterns can be important in disease management and follow-up.

Authors

  • Idan Bressler
    AEYE Health, New York, New York, USA.
  • Rachelle Aviv
    AEYE Health, New York, New York, USA rachelle@aeyehealth.com.
  • Danny Margalit
    AEYE Health, New York, New York, USA.
  • Yovel Rom
    AEYE Health, New York, New York, USA.
  • Tsontcho Ianchulev
    AEYE Health, New York, New York, USA.
  • Zack Dvey-Aharon
    AEYE Health, New York, New York, USA.

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