Application of Artificial Intelligence to Deliver Healthcare From the Eye.

Journal: JAMA ophthalmology
Published Date:

Abstract

IMPORTANCE: Oculomics is the science of analyzing ocular data to identify, diagnose, and manage systemic disease. This article focuses on prescreening, its use with retinal images analyzed by artificial intelligence (AI), to identify ocular or systemic disease or potential disease in asymptomatic individuals. The implementation of prescreening in a coordinated care system, defined as Healthcare From the Eye prescreening, has the potential to improve access, affordability, equity, quality, and safety of health care on a global level. Stakeholders include physicians, payers, policymakers, regulators and representatives from industry, government, and data privacy sectors.

Authors

  • Robert N Weinreb
    Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California, San Diego, La Jolla, California.
  • Aaron Y Lee
    Department of Ophthalmology, University of Washington, Seattle, Washington.
  • Sally L Baxter
    Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla.
  • Richard W J Lee
    National Eye Institute, National Institutes of Health, Bethesda, Maryland.
  • Theodore Leng
    Department of Ophthalmology, Byers Eye Institute at Stanford, Palo Alto, CA, USA.
  • Michael V McConnell
    Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California.
  • Nevin W El-Nimri
    Topcon Healthcare Inc, Oakland, New Jersey.
  • David C Rhew
    Health & Life Sciences, Microsoft, Seattle, Washington.

Keywords

No keywords available for this article.