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...

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Detalles Bibliográficos
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:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700555/
https://www.ncbi.nlm.nih.gov/pubmed/34943557
http://dx.doi.org/10.3390/diagnostics11122319

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