Predicting visual field global and local parameters from OCT measurements using explainable machine learning

Predicting visual field global and local parameters from OCT measurements using explainable machine learning

Abstract Glaucoma is characterised by progressive vision loss due to retinal ganglion cell deterioration, leading to gradual visual field (VF) impairment. The standard VF test may be impractical in some cases, where optical coherence tomography (OCT) can offer predictive insights into VF for multimo...

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Bibliographic Details
Main Authors: Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Erik Meijering, Michael Kalloniatis
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
24-2 test grid
Optical coherence tomography
Glaucoma
Explainable machine learning
SHAP analysis
Perimetry
Online Access:https://doi.org/10.1038/s41598-025-89557-1
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https://doi.org/10.1038/s41598-025-89557-1

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