Predicting treat-and-extend outcomes and treatment intervals in neovascular age-related macular degeneration from retinal optical coherence tomography using artificial intelligence

Predicting treat-and-extend outcomes and treatment intervals in neovascular age-related macular degeneration from retinal optical coherence tomography using artificial intelligence

PurposeTo predict visual outcomes and treatment needs in a treat & extend (T&E) regimen in neovascular age-related macular degeneration (nAMD) using a machine learning model based on quantitative optical coherence tomography (OCT) imaging biomarkers.Materials and methodsStudy eyes of...

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Bibliographic Details
Main Authors: Hrvoje Bogunović, Virginia Mares, Gregor S. Reiter, Ursula Schmidt-Erfurth
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Medicine
Subjects:
neovascular age related macular degeneration
optical coherence tomography
anti-VEGF (vascular endothelial growth factor)
image analysis
retina
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.958469/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.958469/full

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