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Machine-learning and Automatically Segmented Retinal Biomarkers Generate Spatial Heatmaps Predictive for Standard and Low Luminance Visual Acuity in Geographic Atrophy

2022-01-06

Abstract excerpt

<h4>Objective: </h4> Predict visual function with machine-learning applied to automatically acquired quantitative imaging biomarkers in geographic atrophy <h4>Design: </h4> Post-hoc analysis of data from a clinical trial and routine clinical care. <h4>Methods: </h4>: Automated segmentation of OCT scans from 476 eyes (325 patients) with geographic atrophy. Machine learning modelling of resultant quantitative OCT (q...

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Literature Corpus work
dccbe220-a6e7-5cd5-9c6a-1108aed75d89
DOI
10.21203/rs.3.rs-1197225/v1
Open publication

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