Accelerating ophthalmic artificial intelligence research: the role of an open access data repository.

Journal: Current opinion in ophthalmology
Published Date: Sep 1, 2020

Abstract

PURPOSE OF REVIEW: Artificial intelligence has already provided multiple clinically relevant applications in ophthalmology. Yet, the explosion of nonstandardized reporting of high-performing algorithms are rendered useless without robust and streamlined implementation guidelines. The development of protocols and checklists will accelerate the translation of research publications to impact on patient care.

Authors

  • Ashley Kras
    Harvard Retinal Imaging Lab, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts.
  • Leo A Celi
    Beth Israel Deaconess Medical Center, Pulmonary Division and Harvard Medical School, Boston, MA 02215, USA.
  • John B Miller
    Harvard Retinal Imaging Lab, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts.

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