Article

Suitability of Machine Learning for Atrophy and Fibrosis Development in Neovascular Age-Related Macular Degeneration

2023-03-24

Abstract excerpt

Anti-VEGF therapy has reduced the risk of legal blindness on neovascular age-related macular degeneration (nAMD), but still several patients develop fibrosis or atrophy in the long-term. Although recent statistical analyses have associated genetic, clinical and imaging biomarkers with the prognosis of patients with nAMD, no studies on the suitability of machine learning (ML) techniques have been conducted. We perf...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e237102b-412d-53a7-b0fc-d0fe22132920
DOI: 10.1101/2023.03.23.23287652

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Suitability of Machine Learning for Atrophy and Fibrosis Development in Neovascular Age-Related Macular DegenerationDOI 10.1101/2023.03.23.23287652Read

Deep-learning-based Prediction of Late Age-Related Macular Degeneration ProgressionSemantic proximity Read

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

AI and the Eye – Integrating deep learning and<i>in silico</i>simulations to optimise diagnosis and treatment of wet macular degenerationSemantic proximity Read

Predicting Progression to Advanced Age-Related Macular Degeneration from Clinical, Genetic, and Lifestyle Factors Using Machine Learning.Semantic proximity Read

GWAS-based Machine Learning for Prediction of Age-Related Macular Degeneration RiskSemantic proximity Read

Early prediction of macular neovascularization phenotypes and prognostic evolution.Semantic proximity Read

Predictive models of choroidal neovascularization and geographic atrophy incidence applied to clinical trial design.Semantic proximity Read

Artificial intelligence to facilitate clinical trial recruitment in age-related macular degenerationSemantic proximity Read

Chances and challenges of machine learning based disease classification in genetic association studies illustrated on age-related macular degenerationSemantic proximity Read

Chances and challenges of machine learning-based disease classification in genetic association studies illustrated on age-related macular degeneration.Semantic proximity Read

A ten-gene retinal pigment epithelium (RPE)/choroid complex diagnosis signature for age-related macular degenerationSemantic proximity Read

The German National Cohort: Ophthalmological Assessment, Baseline Profile and Potential for AI-based Eye ResearchSemantic proximity Read