AIMC Topic: Ranibizumab

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Use of a Convolutional Neural Network to Predict the Response of Diabetic Macular Edema to Intravitreal Anti-VEGF Treatment: A Pilot Study.

American journal of ophthalmology Feb 20, 2025
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 ...
Aged Male Middle Aged Macular Edema Angiogenesis Inhibitors Convolutional Neural Networks Vascular Endothelial Growth Factor A Treatment Outcome Pilot Projects Intravitreal Injections Follow-Up Studies Humans Ranibizumab Visual Acuity Diabetic Retinopathy Tomography, Optical Coherence Bevacizumab Neural Networks, Computer Retrospective Studies Female
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Artificial intelligence-based analysis of retinal fluid volume dynamics in neovascular age-related macular degeneration and association with vision and atrophy.

Eye (London, England) Oct 15, 2024
BACKGROUND/OBJECTIVES: To characterise morphological changes in neovascular age-related macular degeneration (nAMD) during anti-angiogenic therapy and explore relationships with best-corrected visual acuity (BCVA) and development of macular atrophy (...
Angiogenesis Inhibitors Visual Acuity Artificial Intelligence Intravitreal Injections Tomography, Optical Coherence Female Humans Ranibizumab Retina Aged Wet Macular Degeneration Vascular Endothelial Growth Factor A Aged, 80 and over Atrophy Male Subretinal Fluid
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Prediction of treatment outcome for branch retinal vein occlusion using convolutional neural network-based retinal fluorescein angiography.

Scientific reports Aug 28, 2024
Deep learning techniques were used in ophthalmology to develop artificial intelligence (AI) models for predicting the short-term effectiveness of anti-VEGF therapy in patients with macular edema secondary to branch retinal vein occlusion (BRVO-ME). 1...
Humans Neural Networks, Computer Deep Learning ROC Curve Angiogenesis Inhibitors Treatment Outcome Macular Edema Prognosis Female Aged Male Middle Aged Fluorescein Angiography Ranibizumab Retinal Vein Occlusion
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Approved AI-based fluid monitoring to identify morphological and functional treatment outcomes in neovascular age-related macular degeneration in real-world routine.

The British journal of ophthalmology Jun 20, 2024
AIM: To predict antivascular endothelial growth factor (VEGF) treatment requirements, visual acuity and morphological outcomes in neovascular age-related macular degeneration (nAMD) using fluid quantification by artificial intelligence (AI) in a real...
Ranibizumab Wet Macular Degeneration Subretinal Fluid Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Intravitreal Injections Humans Artificial Intelligence Retrospective Studies Female Aged Aged, 80 and over Male Angiogenesis Inhibitors Treatment Outcome Follow-Up Studies
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Correlation of limited-early-response status with 12-month CST, BVA, and machine learning-quantified retinal fluid in diabetic macular oedema in routine clinical practice.

Eye (London, England) Jun 18, 2024
BACKGROUND/OBJECTIVES: Anti-VEGF treatment response in DMO has been measured by changes in the central subfield thickness (CST) and best visual acuity (BVA) outcomes at 3 months after initial treatment, termed early or limited early response (ER/LER)...
Vascular Endothelial Growth Factor A Intravitreal Injections Ranibizumab Bevacizumab Subretinal Fluid Angiogenesis Inhibitors Humans Visual Acuity Diabetic Retinopathy Tomography, Optical Coherence Machine Learning Macular Edema Retrospective Studies Female Aged Male Middle Aged
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Suitability of machine learning for atrophy and fibrosis development in neovascular age-related macular degeneration.

Acta ophthalmologica Dec 22, 2023
PURPOSE: To assess the suitability of machine learning (ML) techniques in predicting the development of fibrosis and atrophy in patients with neovascular age-related macular degeneration (nAMD), receiving anti-VEGF treatment over a 36-month period.
Visual Acuity Tomography, Optical Coherence Fundus Oculi Vascular Endothelial Growth Factor A Fibrosis Aged Humans Intravitreal Injections Aged, 80 and over Fluorescein Angiography Machine Learning Male Ranibizumab Retrospective Studies Angiogenesis Inhibitors Wet Macular Degeneration Female Follow-Up Studies Atrophy
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Preliminary analysis of predicting the first recurrence in patients with neovascular age-related macular degeneration using deep learning.

BMC ophthalmology Dec 7, 2023
BACKGROUND: To predict, using deep learning, the first recurrence in patients with neovascular age-related macular degeneration (nAMD) after three monthly loading injections of intravitreal anti-vascular endothelial growth factor (anti-VEGF).
Wet Macular Degeneration Subretinal Fluid Retina Vascular Endothelial Growth Factor A Macular Degeneration Intravitreal Injections Humans Ranibizumab Deep Learning Angiogenesis Inhibitors Tomography, Optical Coherence
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Predicting Visual Acuity Responses to Anti-VEGF Treatment in the Comparison of Age-related Macular Degeneration Treatments Trials Using Machine Learning.

Ophthalmology. Retina Nov 24, 2023
PURPOSE: To evaluate multiple machine learning (ML) models for predicting 2-year visual acuity (VA) responses to anti-vascular endothelial growth factor (anti-VEGF) treatment in the Comparison of Age-related Macular Degeneration (AMD) Treatments Tria...
Female Aged Aged, 80 and over Male ROC Curve Vascular Endothelial Growth Factor A Angiogenesis Inhibitors Humans Intravitreal Injections Machine Learning Treatment Outcome Ranibizumab Follow-Up Studies Wet Macular Degeneration Visual Acuity Bevacizumab Tomography, Optical Coherence
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Deep-learning based automated quantification of critical optical coherence tomography features in neovascular age-related macular degeneration.

Eye (London, England) Sep 5, 2023
PURPOSE: To validate a deep learning algorithm for automated intraretinal fluid (IRF), subretinal fluid (SRF) and neovascular pigment epithelium detachment (nPED) segmentations in neovascular age-related macular degeneration (nAMD).
Subretinal Fluid Retinal Detachment Humans Tomography, Optical Coherence Retrospective Studies Macular Degeneration Deep Learning Intravitreal Injections Angiogenesis Inhibitors Ranibizumab Wet Macular Degeneration
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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.
Retinal Detachment Vascular Endothelial Growth Factor A Humans Intravitreal Injections Deep Learning Ranibizumab Angiogenesis Inhibitors Wet Macular Degeneration Tomography, Optical Coherence Subretinal Fluid
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