AIMC Topic: Wet Macular Degeneration

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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.
Reproducibility of Results Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Humans Algorithms Retrospective Studies Female Photography Ophthalmologists Choroidal Neovascularization Area Under Curve Fundus Oculi False Positive Reactions Fluorescein Angiography Wet Macular Degeneration Deep Learning ROC Curve Visual Acuity Predictive Value of Tests
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Feasibility of support vector machine learning in age-related macular degeneration using small sample yielding sparse optical coherence tomography data.

Acta ophthalmologica Mar 6, 2019
PURPOSE: A retrospective pilot study is conducted to demonstrate the utility of a novel support vector machine learning (SVML) algorithm in a small three-dimensional (3D) sample yielding sparse optical coherence tomography (spOCT) data for the automa...
Support Vector Machine Follow-Up Studies Tomography, Optical Coherence Feasibility Studies Macula Lutea Pilot Projects Time Factors ROC Curve Imaging, Three-Dimensional Wet Macular Degeneration Humans Algorithms Prognosis Retrospective Studies Female Aged Aged, 80 and over Male Middle Aged Disease Progression
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Accuracy of ultra-wide-field fundus ophthalmoscopy-assisted deep learning, a machine-learning technology, for detecting age-related macular degeneration.

International ophthalmology May 9, 2018
PURPOSE: To predict exudative age-related macular degeneration (AMD), we combined a deep convolutional neural network (DCNN), a machine-learning algorithm, with Optos, an ultra-wide-field fundus imaging system.
Middle Aged Diagnosis, Computer-Assisted Deep Learning Aged Ophthalmoscopy Aged, 80 and over Wet Macular Degeneration Sensitivity and Specificity Humans Male Neural Networks, Computer Algorithms Female
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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.
Humans Machine Learning Follow-Up Studies Visual Acuity Choroidal Neovascularization Algorithms Vascular Endothelial Growth Factor A Aged, 80 and over Databases, Factual Male Intravitreal Injections Female Middle Aged Wet Macular Degeneration Reproducibility of Results Disease Progression Aged Angiogenesis Inhibitors
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Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning.

Ophthalmology Dec 8, 2017
PURPOSE: Development and validation of a fully automated method to detect and quantify macular fluid in conventional OCT images.
Deep Learning ROC Curve Visual Acuity Tomography, Optical Coherence Macular Edema Wet Macular Degeneration Subretinal Fluid Retinal Vein Occlusion Reproducibility of Results Aged Male Middle Aged Diagnosis, Computer-Assisted Humans Diabetic Retinopathy Female
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Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Nov 20, 2017
PURPOSE: Our purpose was to use deep learning for the automated detection of age-related macular degeneration (AMD) in spectral domain optical coherence tomography (SD-OCT).
Wet Macular Degeneration Neural Networks, Computer Machine Learning Humans Reproducibility of Results Tomography, Optical Coherence Macula Lutea
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Use of a Neural Net to Model the Impact of Optical Coherence Tomography Abnormalities on Vision in Age-related Macular Degeneration.

American journal of ophthalmology Oct 31, 2017
PURPOSE: To develop a neural network for the estimation of visual acuity from optical coherence tomography (OCT) images of patients with neovascular age-related macular degeneration (AMD) and to demonstrate its use to model the impact of specific con...
Aged Male Middle Aged Visual Acuity Tomography, Optical Coherence Neural Networks, Computer Retrospective Studies Female Reproducibility of Results Humans Fundus Oculi Fluorescein Angiography Macula Lutea Wet Macular Degeneration
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Machine Learning to Analyze the Prognostic Value of Current Imaging Biomarkers in Neovascular Age-Related Macular Degeneration.

Ophthalmology. Retina May 31, 2017
PURPOSE: To evaluate the potential of machine learning to predict best-corrected visual acuity (BCVA) outcomes from structural and functional assessments during the initiation phase in patients receiving standardized ranibizumab therapy for neovascul...
Tomography, Optical Coherence Reproducibility of Results Macula Lutea Humans Fundus Oculi Angiogenesis Inhibitors Ranibizumab Machine Learning Vascular Endothelial Growth Factor A Treatment Outcome Retinal Pigment Epithelium Prospective Studies Intravitreal Injections Follow-Up Studies Wet Macular Degeneration Prognosis Fluorescein Angiography Visual Acuity
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Comparative Analysis of Automated vs. Expert-Designed Machine Learning Models in Age-Related Macular Degeneration Detection and Classification.

Turkish journal of ophthalmology Jun 25, 2025
OBJECTIVES: To compare the effectiveness of expert-designed machine learning models and code-free automated machine learning (AutoML) models in classifying optical coherence tomography (OCT) images for detecting age-related macular degeneration (AMD)...
Machine Learning Aged Tomography, Optical Coherence Macular Degeneration Humans Wet Macular Degeneration
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Deep learning-assisted analysis of biomarker changes after increase of dosing from aflibercept 2 mg to 8 mg in therapy-resistant neovascular age-related macular degeneration.

BMJ open ophthalmology Jun 1, 2025
PURPOSE: Age-related macular degeneration (AMD) remains the leading cause of blindness in developed countries. There are many different intravitreal anti-vascular endothelial growth factor (VEGF) drugs available for the treatment of neovascular AMD (...
Dose-Response Relationship, Drug Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Intravitreal Injections Middle Aged Fluorescein Angiography Retrospective Studies Humans Deep Learning Recombinant Fusion Proteins Female Angiogenesis Inhibitors Wet Macular Degeneration Biomarkers Aged Treatment Outcome Receptors, Vascular Endothelial Growth Factor Aged, 80 and over Follow-Up Studies Male
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