Evaluation of Artificial Intelligence-Based Grading of Diabetic Retinopathy in Primary Care.

Journal: JAMA network open
PMID: 30646178

Abstract

IMPORTANCE: There has been wide interest in using artificial intelligence (AI)-based grading of retinal images to identify diabetic retinopathy, but such a system has never been deployed and evaluated in clinical practice.

Authors

  • Yogesan Kanagasingam
    Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Perth, Western Australia, Australia.
  • Di Xiao
    Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Perth, Western Australia, Australia.
  • Janardhan Vignarajan
    Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Perth, Western Australia, Australia.
  • Amita Preetham
    GP Super Clinic at Midland Railway Workshops, Midland, Western Australia, Australia.
  • Mei-Ling Tay-Kearney
    Department of Ophthalmology, Royal Perth Hospital, Perth, Western Australia, Australia.
  • Ateev Mehrotra
    Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.

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