Toward safer ophthalmic artificial intelligence via distributed validation on real-world data.

Journal: Current opinion in ophthalmology
Published Date: Jul 17, 2023

Abstract

PURPOSE OF REVIEW: The current article provides an overview of the present approaches to algorithm validation, which are variable and largely self-determined, as well as solutions to address inadequacies.

Authors

  • Siddharth Nath
    Department of Ophthalmology and Visual Sciences, McGill University, Montreal, QC, Canada.
  • Ehsan Rahimy
    Department of Ophthalmology, Palo Alto Medical Foundation, Palo Alto, California.
  • Ashley Kras
    Harvard Retinal Imaging Lab, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts.
  • Edward Korot
    Moorfields Eye Hospital NHS Foundation Trust, London, UK; Stanford University Byers Eye Institute, Palo Alto, CA, USA.

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