Interpretable Machine Learning Predictions of Bruch’s Membrane Opening-Minimum Rim Width Using Retinal Nerve Fiber Layer Values and Visual Field Global Indexes

Interpretable Machine Learning Predictions of Bruch’s Membrane Opening-Minimum Rim Width Using Retinal Nerve Fiber Layer Values and Visual Field Global Indexes

The aim of this study was to predict Bruch’s membrane opening-minimum rim Width (BMO-MRW), a relatively new parameter using conventional optical coherence tomography (OCT) parameter, using retinal nerve fibre layer (RNFL) thickness and visual field (VF) global indexes (MD, PSD, and VFI). We develope...

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Bibliographic Details
Main Authors: Sat Byul Seo, Hyun-kyung Cho
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Bioengineering
Subjects:
BMO-MRW
Bruch’s membrane opening-minimum rim width
optical coherence tomography
visual field
VF global index
machine learning
Online Access:https://www.mdpi.com/2306-5354/12/3/321
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