Optical coherence tomography-based diabetic macula edema screening with artificial intelligence.

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

Abstract

BACKGROUND: Optical coherence tomography (OCT) is considered as a sensitive and noninvasive tool to evaluate the macular lesions. In patients with diabetes mellitus (DM), the existence of diabetic macular edema (DME) can cause significant vision impairment and further intravitreal injection (IVI) of anti-vascular endothelial growth factor (VEGF) is needed. However, the increasing number of DM patients makes it a big burden for clinicians to manually determine whether DME exists in the OCT images. The artificial intelligence (AI) now enormously applied to many medical territories may help reduce the burden on clinicians.

Authors

  • De-Kuang Hwang
    Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Yu-Bai Chou
    Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Tai-Chi Lin
    Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Hsin-Yu Yang
    Department of Ophthalmology, 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.

Keywords

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