AIMC Topic: Choroidal Neovascularization
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Deep phenotype unsupervised machine learning revealed the significance of pachychoroid features in etiology and visual prognosis of age-related macular degeneration.
Scientific reports
Oct 28, 2020
Unsupervised machine learning has received increased attention in clinical research because it allows researchers to identify novel and objective viewpoints for diseases with complex clinical characteristics. In this study, we applied a deep phenotyp...
Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography.
PloS one
Apr 16, 2020
This study examined and compared outcomes of deep learning (DL) in identifying swept-source optical coherence tomography (OCT) images without myopic macular lesions [i.e., no high myopia (nHM) vs. high myopia (HM)], and OCT images with myopic macular...
[Chances of Artificial Intelligence and Big Data for the Diagnosis and Treatment of Age-related Macular Degeneration].
Klinische Monatsblatter fur Augenheilkunde
Oct 31, 2019
Age-related macular degeneration (AMD) is the leading cause of blindness in the western world. Intravitreal injection of anti-vascular endothelial growth factor (anti-VEGF) is an effective therapy of the neovascular form of this condition. Multimodal...
Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.
Clinical & experimental ophthalmology
Jul 25, 2019
IMPORTANCE: Detection of early onset neovascular age-related macular degeneration (AMD) is critical to protecting vision.
Middle Aged
Diagnosis, Computer-Assisted
Deep Learning
ROC Curve
Visual Acuity
Predictive Value of Tests
Area Under Curve
Fundus Oculi
Female
Reproducibility of Results
Sensitivity and Specificity
Humans
Male
Algorithms
Ophthalmologists
False Positive Reactions
Retrospective Studies
Choroidal Neovascularization
Fluorescein Angiography
Wet Macular Degeneration
Photography
Computational Approach to Investigating Key GO Terms and KEGG Pathways Associated with CNV.
BioMed research international
Apr 11, 2018
Choroidal neovascularization (CNV) is a severe eye disease that leads to blindness, especially in the elderly population. Various endogenous and exogenous regulatory factors promote its pathogenesis. However, the detailed molecular biological mechani...
Predicting Visual Acuity by Using Machine Learning in Patients Treated for Neovascular Age-Related Macular Degeneration.
Ophthalmology
Feb 14, 2018
PURPOSE: To predict, by using machine learning, visual acuity (VA) at 3 and 12 months in patients with neovascular age-related macular degeneration (AMD) after initial upload of 3 anti-vascular endothelial growth factor (VEGF) injections.
Female
Reproducibility of Results
Aged
Choroidal Neovascularization
Aged, 80 and over
Follow-Up Studies
Humans
Male
Vascular Endothelial Growth Factor A
Machine Learning
Visual Acuity
Middle Aged
Intravitreal Injections
Algorithms
Disease Progression
Wet Macular Degeneration
Databases, Factual
Angiogenesis Inhibitors
Novel risk index for the identification of age-related macular degeneration using radon transform and DWT features.
Computers in biology and medicine
Apr 22, 2016
Age-related Macular Degeneration (AMD) affects the central vision of aged people. It can be diagnosed due to the presence of drusen, Geographic Atrophy (GA) and Choroidal Neovascularization (CNV) in the fundus images. It is labor intensive and time-c...
AI Quantification of Vascular Lesions in Mouse Fundus Fluorescein Angiography.
Translational vision science & technology
Jun 2, 2025
PURPOSE: Quantifying vascular leakage in fundus fluorescein angiography (FFA) is a critical endpoint in preclinical models of diseases such as neovascular age-related macular degeneration, retinopathy of prematurity, and diabetic retinopathy. Traditi...
Predicting response to anti-VEGF therapy in neovascular age-related macular degeneration using random forest and SHAP algorithms.
Photodiagnosis and photodynamic therapy
Jun 1, 2025
PURPOSE: This study aimed to establish and validate a prediction model based on machine learning methods and SHAP algorithm to predict response to anti-vascular endothelial growth factor (VEGF) therapy in neovascular age-related macular degeneration ...
Female
Aged
Aged, 80 and over
Male
Humans
Machine Learning
Algorithms
Retrospective Studies
Vascular Endothelial Growth Factor A
Macular Degeneration
Photochemotherapy
Wet Macular Degeneration
Choroidal Neovascularization
Middle Aged
Angiogenesis Inhibitors
Tomography, Optical Coherence
Random Forest
Deep Learning for Diagnosing and Segmenting Choroidal Neovascularization in OCT Angiography in a Large Real-World Data Set.
Translational vision science & technology
Apr 3, 2023
PURPOSE: To diagnose and segment choroidal neovascularization (CNV) in a real-world multicenter clinical OCT angiography (OCTA) data set using deep learning.
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