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Predicting treat-and-extend outcomes and treatment intervals in neovascular age-related macular degeneration from retinal optical coherence tomography using artificial intelligence
PURPOSE: To 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 METHODS: Study eyes of 27...
Autores principales: | Bogunović, Hrvoje, Mares, Virginia, Reiter, Gregor S., Schmidt-Erfurth, Ursula |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396241/ https://www.ncbi.nlm.nih.gov/pubmed/36017006 http://dx.doi.org/10.3389/fmed.2022.958469 |
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