AIMC Topic: Intravitreal Injections

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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-...
Prognosis Retrospective Studies Female Aged Aged, 80 and over Humans Angiogenesis Inhibitors Follow-Up Studies Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Cross-Sectional Studies Male Middle Aged Deep Learning Intravitreal Injections Ranibizumab Wet Macular Degeneration
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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).
Receptors, Vascular Endothelial Growth Factor Retinal Drusen Choroidal Neovascularization Male Geographic Atrophy Middle Aged Intravitreal Injections Deep Learning Recombinant Fusion Proteins ROC Curve Ranibizumab Angiogenesis Inhibitors Wet Macular Degeneration Models, Statistical Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Neural Networks, Computer Female Aged Aged, 80 and over Humans Sensitivity and Specificity
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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).
Humans Intravitreal Injections Ranibizumab Wet Macular Degeneration Bevacizumab Subretinal Fluid Artificial Intelligence Angiogenesis Inhibitors Treatment Outcome Visual Acuity Tomography, Optical Coherence
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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...
Recombinant Fusion Proteins Receptors, Vascular Endothelial Growth Factor Choroidal Neovascularization Female Aged Aged, 80 and over Male Angiogenesis Inhibitors Unsupervised Machine Learning Choroid Macular Degeneration Intravitreal Injections Humans Prognosis Retrospective Studies
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Development of Deep Learning Models to Predict Best-Corrected Visual Acuity from Optical Coherence Tomography.

Translational vision science & technology Sep 9, 2020
PURPOSE: To develop deep learning (DL) models to predict best-corrected visual acuity (BCVA) from optical coherence tomography (OCT) images from patients with neovascular age-related macular degeneration (nAMD).
Tomography, Optical Coherence Intravitreal Injections Humans Retrospective Studies Deep Learning Visual Acuity
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Prediction of response to anti-vascular endothelial growth factor treatment in diabetic macular oedema using an optical coherence tomography-based machine learning method.

Acta ophthalmologica Jun 22, 2020
PURPOSE: To predict the anti-vascular endothelial growth factor (VEGF) therapeutic response of diabetic macular oedema (DME) patients from optical coherence tomography (OCT) at the initiation stage of treatment using a machine learning-based self-exp...
Male Middle Aged ROC Curve Angiogenesis Inhibitors Follow-Up Studies Visual Acuity Algorithms Tomography, Optical Coherence Humans Prognosis Macular Edema Diabetic Retinopathy Vascular Endothelial Growth Factor A Machine Learning Retrospective Studies Intravitreal Injections Female Aged
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Prediction of visual outcomes by an artificial neural network following intravitreal injection and laser therapy for retinopathy of prematurity.

The British journal of ophthalmology Nov 19, 2019
AIMS: To construct a program to predict the visual acuity (VA), best corrected VA (BCVA) and spherical equivalent (SE) of patients with retinopathy of prematurity (ROP) from 3 to 12 years old after intravitreal injection (IVI) of anti-vascular endoth...
Child Angiogenesis Inhibitors Visual Acuity Predictive Value of Tests Vascular Endothelial Growth Factor A Intravitreal Injections Ranibizumab Retinopathy of Prematurity Bevacizumab Retrospective Studies Female Male Refraction, Ocular Child, Preschool Humans Neural Networks, Computer Laser Coagulation
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[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...
Ranibizumab Choroidal Neovascularization Big Data Humans Angiogenesis Inhibitors Artificial Intelligence Vascular Endothelial Growth Factor A Macular Degeneration Intravitreal Injections
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Automated diagnosis and quantitative analysis of plus disease in retinopathy of prematurity based on deep convolutional neural networks.

Acta ophthalmologica Sep 27, 2019
BACKGROUND: The purpose of this study was to develop an automated diagnosis and quantitative analysis system for plus disease. The system provides a diagnostic decision but also performs quantitative analysis of the typical pathological features of t...
Humans Image Interpretation, Computer-Assisted Infant, Newborn Infant, Premature Retinal Vessels Intravitreal Injections Diagnosis, Computer-Assisted Infant, Extremely Low Birth Weight Ranibizumab Deep Learning Retinopathy of Prematurity ROC Curve Angiogenesis Inhibitors
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Force classification during robotic interventions through simulation-trained neural networks.

International journal of computer assisted radiology and surgery Aug 16, 2019
PURPOSE: Intravitreal injection is among the most frequent treatment strategies for chronic ophthalmic diseases. The last decade has seen a serious increase in the number of intravitreal injections, and with it, adverse effects and drawbacks. To tack...
Tomography, Optical Coherence Bayes Theorem Robotic Surgical Procedures Intravitreal Injections Reproducibility of Results Diagnostic Techniques, Ophthalmological Animals Humans Mechanical Phenomena Swine Neural Networks, Computer Sclera Image Processing, Computer-Assisted Machine Learning Models, Theoretical Computer Simulation
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