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

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

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...

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Bibliographic Details
Main Authors: Yu Fang, Jianwei Lin, Peiwen Xie, Huishan Zhu, Tsz Kin Ng, Guihua Zhang
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Ophthalmology
Subjects:
Diabetic macular edema
Anti-VEGF treatment
Machine learning
Optical coherence tomography.
Online Access:https://doi.org/10.1186/s12886-025-04181-x
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https://doi.org/10.1186/s12886-025-04181-x

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