AIMC Topic: Retinopathy of Prematurity

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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, Preschool Child Angiogenesis Inhibitors Visual Acuity Female Male Refraction, Ocular Neural Networks, Computer Ranibizumab Retrospective Studies Retinopathy of Prematurity Humans Bevacizumab Laser Coagulation Predictive Value of Tests Vascular Endothelial Growth Factor A 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 Infant, Newborn Ranibizumab Retinopathy of Prematurity Retinal Vessels Infant, Extremely Low Birth Weight Angiogenesis Inhibitors Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Infant, Premature Deep Learning Intravitreal Injections ROC Curve
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Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.

Ophthalmology. Retina Jan 31, 2019
PURPOSE: Accurate image-based ophthalmic diagnosis relies on fundus image clarity. This has important implications for the quality of ophthalmic diagnoses and for emerging methods such as telemedicine and computer-based image analysis. The purpose of...
Neural Networks, Computer Algorithms Female Infant, Newborn Humans Ophthalmoscopy Retinopathy of Prematurity Male ROC Curve Image Processing, Computer-Assisted
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Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Accurate image-based medical diagnosis relies upon adequate image quality and clarity. This has important implications for clinical diagnosis, and for emerging methods such as telemedicine and computer-based image analysis. In this study, we trained ...
Deep Learning ROC Curve Area Under Curve Telemedicine Infant, Premature Fundus Oculi Retina Neural Networks, Computer Algorithms Infant, Newborn Reproducibility of Results Retinopathy of Prematurity Humans
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Automated retinopathy of prematurity screening using deep neural networks.

EBioMedicine Aug 27, 2018
BACKGROUND: Retinopathy of prematurity (ROP) is the leading cause of childhood blindness worldwide. Automated ROP detection system is urgent and it appears to be a safe, reliable, and cost-effective complement to human experts.
Gestational Age Retinopathy of Prematurity Humans Birth Weight Databases as Topic Infant ROC Curve Automation Internet Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Mass Screening Algorithms
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Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks.

IEEE transactions on medical imaging Aug 6, 2018
Retinopathy of Prematurity (ROP) is a retinal vasproliferative disorder disease principally observed in infants born prematurely with low birth weight. ROP is an important cause of childhood blindness. Although automatic or semi-automatic diagnosis o...
Diagnostic Techniques, Ophthalmological Retinopathy of Prematurity Humans Infant, Newborn Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms
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A machine learning approach for automated assessment of retinal vasculature in the oxygen induced retinopathy model.

Scientific reports Mar 2, 2018
Preclinical studies of vascular retinal diseases rely on the assessment of developmental dystrophies in the oxygen induced retinopathy rodent model. The quantification of vessel tufts and avascular regions is typically computed manually from flat mou...
Retinopathy of Prematurity Retinal Neovascularization Mice Retina Machine Learning Oxygen Animals, Newborn Animals
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Changes in systemic vascular endothelial growth factor levels after intravitreal injection of aflibercept in infants with retinopathy of prematurity.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Dec 30, 2017
BACKGROUND: To investigate the levels of VEGF in the systemic circulation of patients with type 1 ROP who received intravitreal injections of 1 mg (0.025 mL) aflibercept (IVA) or 0.625 mg (0.025 mL) bevacizumab (IVB).
Receptors, Vascular Endothelial Growth Factor Male Prognosis Time Factors Female Follow-Up Studies Vascular Endothelial Growth Factors Humans Retinopathy of Prematurity Infant, Newborn Enzyme-Linked Immunosorbent Assay Prospective Studies Angiogenesis Inhibitors Dose-Response Relationship, Drug Biomarkers Treatment Outcome Intravitreal Injections Recombinant Fusion Proteins
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Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.

Computer methods and programs in biomedicine Jun 16, 2015
BACKGROUND AND OBJECTIVE: Understanding the causes of disagreement among experts in clinical decision making has been a challenge for decades. In particular, a high amount of variability exists in diagnosis of retinopathy of prematurity (ROP), which ...
Humans Infant Machine Learning Retinopathy of Prematurity
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Analysis of underlying causes of inter-expert disagreement in retinopathy of prematurity diagnosis. Application of machine learning principles.

Methods of information in medicine Dec 1, 2014
OBJECTIVE: Inter-expert variability in image-based clinical diagnosis has been demonstrated in many diseases including retinopathy of prematurity (ROP), which is a disease affecting low birth weight infants and is a major cause of childhood blindness...
Humans Machine Learning Observer Variation Retinopathy of Prematurity Diagnosis, Differential Diagnostic Imaging Datasets as Topic
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