AIMC Topic: Angiogenesis Inhibitors
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Correlation of vascular and fluid-related parameters in neovascular age-related macular degeneration using deep learning.
Acta ophthalmologica
Aug 1, 2022
PURPOSE: To identify correlations between the vascular characteristics of macular neovascularization (MNV) obtained by optical coherence tomography angiography (OCTA) and distinct retinal fluid volumes in neovascular age-related macular degeneration ...
Therapeutic response in the HAWK and HARRIER trials using deep learning in retinal fluid volume and compartment analysis.
Eye (London, England)
May 6, 2022
OBJECTIVES: To assess the therapeutic response to brolucizumab and aflibercept by deep learning/OCT-based analysis of macular fluid volumes in neovascular age-related macular degeneration.
Clinically applicable deep learning-based decision aids for treatment of neovascular AMD.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Jan 22, 2022
PURPOSE: Anti-vascular endothelial growth factor (Anti-VEGF) therapy is currently seen as the standard for treatment of neovascular AMD (nAMD). However, while treatments are highly effective, decisions for initial treatment and retreatment are often ...
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.
Ophthalmology. Retina
May 8, 2021
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 ac...
Humans
Diabetic Retinopathy
Machine Learning
Prognosis
Male
Middle Aged
Angiogenesis Inhibitors
Follow-Up Studies
Macular Edema
Retrospective Studies
Female
Aged
Aged, 80 and over
Retinal Vein Occlusion
Vascular Endothelial Growth Factor A
Intravitreal Injections
Ranibizumab
Wet Macular Degeneration
Subfoveal choroidal thickness changes after intravitreal ranibizumab injections in different patterns of diabetic macular edema using a deep learning-based auto-segmentation.
International ophthalmology
Mar 30, 2021
PURPOSE: To evaluate the effect of intravitreal injection of ranibizumab (IVR) on subfoveal choroidal thickness (SFCT) and its relationship with central macular thickness (CMT) and best-corrected visual acuity (BCVA) changes in eyes with center-invol...
AI-based structure-function correlation in age-related macular degeneration.
Eye (London, England)
Mar 25, 2021
Sensitive and robust outcome measures of retinal function are pivotal for clinical trials in age-related macular degeneration (AMD). A recent development is the implementation of artificial intelligence (AI) to infer results of psychophysical examina...
Predicting Incremental and Future Visual Change in Neovascular Age-Related Macular Degeneration Using Deep Learning.
Ophthalmology. Retina
Jan 28, 2021
PURPOSE: To evaluate the predictive usefulness of quantitative imaging biomarkers, acquired automatically from OCT scans, of cross-sectional and future visual outcomes of patients with neovascular age-related macular degeneration (AMD) starting anti-...
Aged, 80 and over
Cross-Sectional Studies
Male
Middle Aged
Prognosis
Humans
Tomography, Optical Coherence
Retrospective Studies
Deep Learning
Female
Intravitreal Injections
Vascular Endothelial Growth Factor A
Angiogenesis Inhibitors
Aged
Ranibizumab
Follow-Up Studies
Wet Macular Degeneration
Visual Acuity
Quantification of Key Retinal Features in Early and Late Age-Related Macular Degeneration Using Deep Learning.
American journal of ophthalmology
Jan 8, 2021
PURPOSE: We sought to develop and validate a deep learning model for segmentation of 13 features associated with neovascular and atrophic age-related macular degeneration (AMD).
Deep Learning
ROC Curve
Angiogenesis Inhibitors
Models, Statistical
Vascular Endothelial Growth Factor A
Intravitreal Injections
Recombinant Fusion Proteins
Visual Acuity
Tomography, Optical Coherence
Aged, 80 and over
Sensitivity and Specificity
Male
Middle Aged
Humans
Choroidal Neovascularization
Ranibizumab
Neural Networks, Computer
Geographic Atrophy
Female
Wet Macular Degeneration
Aged
Receptors, Vascular Endothelial Growth Factor
Retinal Drusen
Impact of macular fluid volume fluctuations on visual acuity during anti-VEGF therapy in eyes with nAMD.
Eye (London, England)
Jan 7, 2021
OBJECTIVES: To study the effect of repeated retinal thickness fluctuations during the anti-VEGF therapy maintenance phase in neovascular age-related macular degeneration (nAMD).
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...
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