Ensemble machine learning algorithm for anti-VEGF treatment efficacy prediction in diabetic macular edema.

Journal: BMC ophthalmology
Published Date: Jul 1, 2025

Abstract

BACKGROUND: Diabetic macular edema (DME) is a leading cause of vision loss in diabetes, with variable responses to anti-vascular endothelial growth factor (anti-VEGF) therapy in DME patients. Current diagnosis relies on optical coherence tomography (OCT) imaging, but manual interpretation is limited. This study aims to integrate 3D-OCT features and clinical variables to develop machine learning (ML) models for predicting anti-VEGF treatment outcomes.

Authors

  • Yu Fang
    Jiangsu Normal University, Xuzhou, China.
  • Jianwei Lin
    Faculty of Basic Education, Putian University, Putian, Fujian, China. Jianwei_lin@126.com.
  • Peiwen Xie
    Joint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, China.
  • Huishan Zhu
    Joint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, China.
  • Tsz Kin Ng
    Joint Shantou International Eye Center of Shantou University, the Chinese University of Hong Kong, Shantou, Guangdong, China.
  • Guihua Zhang
    Joint Shantou International Eye Center of Shantou University, the Chinese University of Hong Kong, Shantou, Guangdong, China.

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