Use of a Convolutional Neural Network to Predict the Response of Diabetic Macular Edema to Intravitreal Anti-VEGF Treatment: A Pilot Study.
Journal:
American journal of ophthalmology
PMID:
39986639
Abstract
PURPOSE: To utilize a convolutional neural network (CNN) to predict the response of treatment-naïve diabetic macular edema (DME) to a single injection of anti-vascular endothelial growth factor (anti-VEGF) with data from optical coherence tomography (OCT).
Authors
Keywords
Aged
Angiogenesis Inhibitors
Bevacizumab
Convolutional Neural Networks
Diabetic Retinopathy
Female
Follow-Up Studies
Humans
Intravitreal Injections
Macular Edema
Male
Middle Aged
Neural Networks, Computer
Pilot Projects
Ranibizumab
Retrospective Studies
Tomography, Optical Coherence
Treatment Outcome
Vascular Endothelial Growth Factor A
Visual Acuity