Smartphone-based diabetic macula edema screening with an offline artificial intelligence.

Journal: Journal of the Chinese Medical Association : JCMA
Published Date: Dec 1, 2020

Abstract

BACKGROUND: Diabetic macular edema (DME) is a sight-threatening condition that needs regular examinations and remedies. Optical coherence tomography (OCT) is the most common used examination to evaluate the structure and thickness of the macula, but the software in the OCT machine does not tell the clinicians whether DME exists directly. Recently, artificial intelligence (AI) is expected to aid in diagnosis generation and therapy selection. We thus develop a smartphone-based offline AI system that provides diagnostic suggestions and medical strategies through analyzing OCT images from diabetic patients at the risk of developing DME.

Authors

  • De-Kuang Hwang
    Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Wei-Kuang Yu
    Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Tai-Chi Lin
    Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Shih-Jie Chou
    Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC.
  • Aliaksandr Yarmishyn
    Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Zih-Kai Kao
    Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Chung-Lan Kao
    Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan.
  • Yi-Ping Yang
    Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Shih-Jen Chen
    Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Chih-Chien Hsu
    Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Ying-Chun Jheng
    Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan.

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