Applications of interpretability in deep learning models for ophthalmology.

Journal: Current opinion in ophthalmology
Published Date: Sep 1, 2021

Abstract

PURPOSE OF REVIEW: In this article, we introduce the concept of model interpretability, review its applications in deep learning models for clinical ophthalmology, and discuss its role in the integration of artificial intelligence in healthcare.

Authors

  • Adam M Hanif
    Ophthalmology, Oregon Health & Science University, Portland, Oregon, USA.
  • Sara Beqiri
    University College London Division of Medicine.
  • Pearse A Keane
    National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
  • J Peter Campbell
    Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon.

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