Ophthalmology Optical Coherence Tomography Databases for Artificial Intelligence Algorithm: A Review.

Journal: Seminars in ophthalmology
Published Date: Feb 9, 2024

Abstract

BACKGROUND: Imaging plays a pivotal role in eye assessment. With the introduction of advanced machine learning and artificial intelligence (AI), the focus has shifted to imaging datasets in ophthalmology. While disparities and health inequalities hidden within data are well-documented, the ophthalmology field faces specific challenges to the creation and maintenance of datasets. Optical Coherence Tomography (OCT) is useful for the diagnosis and monitoring of retinal pathologies, making it valuable for AI applications. This review aims to identify and compare the landscape of publicly available optical coherence tomography databases for AI applications.

Authors

  • David Restrepo
    Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Justin Michael Quion
    Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Frederico Do Carmo Novaes
    Department of Ophthalmology, São Paulo Federal University, São Paulo Brazil 4 Scientific Image Analysis Lab, Integrative Biology Program, Biomedical Sciences Institute (ICBM), Faculty of Medicine, Universidad de Chile, Santiago, Chile.
  • Iago Diogenes Azevedo Costa
    Department of Ophthalmology, São Paulo Federal University, São Paulo Brazil 4 Scientific Image Analysis Lab, Integrative Biology Program, Biomedical Sciences Institute (ICBM), Faculty of Medicine, Universidad de Chile, Santiago, Chile.
  • Constanza Vasquez
    Department of Medicine, Instituto Politécnico Nacional, Escuela Superior de Medicina, Ciudad de, Mexico.
  • Alyssa Nicole Bautista
    Department of Medicine, University of the East Ramon Magsaysay Memorial Medical Center Inc, Quezon, Philippines.
  • Ellaine Quiminiano
    Department of Medicine, University of the East Ramon Magsaysay Memorial Medical Center Inc, Quezon, Philippines.
  • Patricia Abigail Lim
    Department of Ophthalmology, Rizal Medical Center, Manila, Philippines.
  • Roger Mwavu
    Department of Information Technology, Mbarara University of Science and Technology, Mbarara, Uganda.
  • Leo Anthony Celi
    Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Luis Filipe Nakayama
    São Paulo Federal University, São Paulo, SP, Brazil nakayama.luis@gmail.com.

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