Cargando…
Artificial Intelligence and OCT Angiography in Full Thickness Macular Hole. New Developments for Personalized Medicine
Purpose: To evaluate the 1-year visual acuity predictive performance of an artificial intelligence (AI) based model applied to optical coherence tomography angiography (OCT-A) vascular layers scans from eyes with a full-thickness macular hole (FTMH). Methods: In this observational cross-sectional, s...
Autores principales: | Rizzo, Stanislao, Savastano, Alfonso, Lenkowicz, Jacopo, Savastano, Maria Cristina, Boldrini, Luca, Bacherini, Daniela, Falsini, Benedetto, Valentini, Vincenzo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700555/ https://www.ncbi.nlm.nih.gov/pubmed/34943557 http://dx.doi.org/10.3390/diagnostics11122319 |
Ejemplares similares
-
Correction: Rizzo et al. Artificial Intelligence and OCT Angiography in Full Thickness Macular Hole. New Developments for Personalized Medicine. Diagnostics 2021, 11, 2319
por: Rizzo, Stanislao, et al.
Publicado: (2022) -
Morpho-Functional Evaluation of Full-Thickness Macular Holes by the Integration of Optical Coherence Tomography Angiography and Microperimetry
por: Bacherini, Daniela, et al.
Publicado: (2020) -
The Role of OCT Angiography in the Assessment of Epiretinal Macular Membrane
por: Bacherini, Daniela, et al.
Publicado: (2021) -
An Internal Limiting Membrane Plug and Gas Endotamponade for Recurrent or Persistent Macular Hole
por: Giansanti, Fabrizio, et al.
Publicado: (2019) -
Artificial Intelligence for Evaluation of Retinal Vasculopathy in Facioscapulohumeral Dystrophy Using OCT Angiography: A Case Series
por: Maceroni, Martina, et al.
Publicado: (2023)