Deep Learning Approaches for Detecting of Nascent Geographic Atrophy in Age-Related Macular Degeneration.

Journal: Ophthalmology science
Published Date: Nov 17, 2023

Abstract

PURPOSE: Nascent geographic atrophy (nGA) refers to specific features seen on OCT B-scans, which are strongly associated with the future development of geographic atrophy (GA). This study sought to develop a deep learning model to screen OCT B-scans for nGA that warrant further manual review (an artificial intelligence [AI]-assisted approach), and to determine the extent of reduction in OCT B-scan load requiring manual review while maintaining near-perfect nGA detection performance.

Authors

  • Heming Yao
    gRED Computational Science, Genentech, Inc., South San Francisco, California.
  • Zhichao Wu
    Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia.
  • Simon S Gao
    gRED Computational Science, Genentech, Inc., South San Francisco, California.
  • Robyn H Guymer
    Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia.
  • Verena Steffen
    gRED Computational Science, Genentech, Inc., South San Francisco, California.
  • Hao Chen
    The First School of Medicine, Wenzhou Medical University, Wenzhou, China.
  • Mohsen Hejrati
    gRED Computational Science, Genentech, Inc., South San Francisco, California.
  • Miao Zhang
    gRED Computational Science, Genentech, Inc., South San Francisco, California.

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