Machine Learning Can Predict Anti-VEGF Treatment Demand in a Treat-and-Extend Regimen for Patients with Neovascular AMD, DME, and RVO Associated Macular Edema.
Journal:
Ophthalmology. Retina
PMID:
33971352
Abstract
PURPOSE: To assess the potential of machine learning to predict low and high treatment demand in real life in patients with neovascular age-related macular degeneration (nAMD), retinal vein occlusion (RVO), and diabetic macular edema (DME) treated according to a treat-and-extend regimen (TER).
Authors
Keywords
Aged
Aged, 80 and over
Angiogenesis Inhibitors
Diabetic Retinopathy
Female
Follow-Up Studies
Humans
Intravitreal Injections
Machine Learning
Macular Edema
Male
Middle Aged
Prognosis
Ranibizumab
Retinal Vein Occlusion
Retrospective Studies
Vascular Endothelial Growth Factor A
Wet Macular Degeneration