Artificial Intelligence and OCT Angiography in Full Thickness Macular Hole. New Developments for Personalized Medicine

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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Bibliographic Details
Main Authors: Stanislao Rizzo, Alfonso Savastano, Jacopo Lenkowicz, Maria Cristina Savastano, Luca Boldrini, Daniela Bacherini, Benedetto Falsini, Vincenzo Valentini
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Diagnostics
Subjects:
artificial intelligence
deep learning
full thickness macular hole
innovative biotechnologies
optical coherence tomography angiography
personalized medicine
Online Access:https://www.mdpi.com/2075-4418/11/12/2319

Internet

https://www.mdpi.com/2075-4418/11/12/2319

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