AIMC Topic: Retinal Vein Occlusion

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Using Deep Learning to Segment Retinal Vascular Leakage and Occlusion in Retinal Vasculitis.

Ocular immunology and inflammation Jan 23, 2024
PURPOSE: Retinal vasculitis (RV) is characterised by retinal vascular leakage, occlusion or both on fluorescein angiography (FA). There is no standard scheme available to segment RV features. We aimed to develop a deep learning model to segment both ...
Reproducibility of Results Aged Adult Male Capillary Permeability Retinal Vessels Humans Retinal Vein Occlusion Middle Aged Retrospective Studies Retinal Vasculitis Deep Learning Female Retinal Artery Occlusion Fundus Oculi Fluorescein Angiography
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Development and Application of an Intelligent Diagnosis System for Retinal Vein Occlusion Based on Deep Learning.

Disease markers Aug 24, 2022
This study is aimed at developing an intelligent algorithm based on deep learning and discussing its application for the classification and diagnosis of retinal vein occlusions (RVO) using fundus images. A total of 501 fundus images of healthy eyes a...
Risk Factors Deep Learning Visual Acuity Retinal Vein Occlusion Humans
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Force and Velocity Based Puncture Detection in Robot Assisted Retinal Vein Cannulation: In-Vivo Study.

IEEE transactions on bio-medical engineering Feb 21, 2022
OBJECTIVE: Retinal vein cannulation is a technically demanding surgical procedure and its feasibility may rely on using advanced surgical robots equipped with force-sensing microneedles. Reliable detection of the moment of venous puncture is importan...
Retinal Vein Occlusion Animals Swine Robotics Rabbits Needles Catheterization Retinal Vein Retina Punctures
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Accuracy of automated machine learning in classifying retinal pathologies from ultra-widefield pseudocolour fundus images.

The British journal of ophthalmology Aug 3, 2021
AIMS: Automated machine learning (AutoML) is a novel tool in artificial intelligence (AI). This study assessed the discriminative performance of AutoML in differentiating retinal vein occlusion (RVO), retinitis pigmentosa (RP) and retinal detachment ...
Humans Artificial Intelligence Machine Learning ROC Curve Fundus Oculi Retina Retinal Vein Occlusion
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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...
Middle Aged Angiogenesis Inhibitors Follow-Up Studies Macular Edema Female Aged Aged, 80 and over Male Retinal Vein Occlusion Vascular Endothelial Growth Factor A Intravitreal Injections Ranibizumab Wet Macular Degeneration Machine Learning Prognosis Retrospective Studies Humans Diabetic Retinopathy
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Phase I trial on robot assisted retinal vein cannulation with ocriplasmin infusion for central retinal vein occlusion.

Acta ophthalmologica Jul 23, 2020
PURPOSE: To evaluate the safety and feasibility of robot-assisted retinal vein cannulation with Ocriplasmin infusion for central retinal vein occlusion.
Catheterization Fibrinolysin Retinal Vein Retinal Vein Occlusion Peptide Fragments Fundus Oculi Fluorescein Angiography Humans Visual Acuity Vitrectomy Prospective Studies Infusions, Intravenous Female Robotics Middle Aged Aged Aged, 80 and over Tomography, Optical Coherence Treatment Outcome Follow-Up Studies Male
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A semi-automated machine-learning based workflow for ellipsoid zone analysis in eyes with macular edema: SCORE2 pilot study.

PloS one Apr 30, 2020
BACKGROUND AND OBJECTIVE: To develop a semi-automated, machine-learning based workflow to evaluate the ellipsoid zone (EZ) assessed by spectral domain optical coherence tomography (SD-OCT) in eyes with macular edema secondary to central retinal or he...
Adult Male Middle Aged Pilot Projects Treatment Outcome Tomography, Optical Coherence Drug Monitoring Image Processing, Computer-Assisted Angiogenesis Inhibitors Humans Machine Learning Female Macula Lutea Receptors, Vascular Endothelial Growth Factor Bevacizumab Retinal Vein Occlusion Workflow Macular Edema Vascular Endothelial Growth Factor A Recombinant Fusion Proteins
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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.
Humans Diabetic Retinopathy Retinal Vein Occlusion Tomography, Optical Coherence Middle Aged Female Deep Learning Diagnosis, Computer-Assisted Macular Edema Reproducibility of Results ROC Curve Wet Macular Degeneration Aged Subretinal Fluid Male Visual Acuity
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Evaluating the impact of vitreomacular adhesion on anti-VEGF therapy for retinal vein occlusion using machine learning.

Scientific reports Jun 7, 2017
Vitreomacular adhesion (VMA) represents a prognostic biomarker in the management of exudative macular disease using anti-vascular endothelial growth factor (VEGF) agents. However, manual evaluation of VMA in 3D optical coherence tomography (OCT) is l...
Macula Lutea Retinal Vein Occlusion Visual Acuity Tomography, Optical Coherence Tissue Adhesions Humans Vascular Endothelial Growth Factor A Male Machine Learning Angiogenesis Inhibitors Female Treatment Outcome
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Robot-assisted retinal vein cannulation in an in vivo porcine retinal vein occlusion model.

Acta ophthalmologica Jan 13, 2017
PURPOSE: To evaluate the feasibility of robot-assisted retinal vein cannulation for retinal vein occlusion.
Catheterization Treatment Outcome Retinal Vein Disease Models, Animal Retinal Vein Occlusion Prospective Studies Robotics Animals Vitrectomy Swine Pilot Projects
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