Automated deep learning in ophthalmology: AI that can build AI.

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

Abstract

PURPOSE OF REVIEW: The purpose of this review is to describe the current status of automated deep learning in healthcare and to explore and detail the development of these models using commercially available platforms. We highlight key studies demonstrating the effectiveness of this technique and discuss current challenges and future directions of automated deep learning.

Authors

  • Ciara O'Byrne
    Medical Retina Department, Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Abdallah Abbas
    Faculty of Medicine, Al-Azhar University, Damietta, Egypt.
  • Edward Korot
    Moorfields Eye Hospital NHS Foundation Trust, London, UK; Stanford University Byers Eye Institute, Palo Alto, CA, USA.
  • 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.

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