Evaluation of a Deep Learning-Derived Quantitative Retinopathy of Prematurity Severity Scale.

Journal: Ophthalmology
PMID: 33121959

Abstract

PURPOSE: To evaluate the clinical usefulness of a quantitative deep learning-derived vascular severity score for retinopathy of prematurity (ROP) by assessing its correlation with clinical ROP diagnosis and by measuring clinician agreement in applying a novel scale.

Authors

  • J Peter Campbell
    Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon.
  • Sang Jin Kim
    Ophthalmology Oregon Health & Science University, Portland, OR, United States.
  • James M Brown
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, MGH/Harvard Medical School, Charlestown, MA, United States.
  • Susan Ostmo
    Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon.
  • R V Paul Chan
    Ophthalmology, Illinois Eye and Ear Infirmary, Chicago, IL, United States.
  • Jayashree Kalpathy-Cramer
    Department of Radiology, MGH/Harvard Medical School, Charlestown, Massachusetts.
  • Michael F Chiang
    National Eye Institute, National Institutes of Health, Bethesda, Maryland.

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