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...

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Detalles Bibliográficos
Autores principales: Bogunović, Hrvoje, Mares, Virginia, Reiter, Gregor S., Schmidt-Erfurth, Ursula
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
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

Internet

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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