AIMC Topic: Retinopathy of Prematurity

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Development and Validation of a Deep Learning Model to Predict the Occurrence and Severity of Retinopathy of Prematurity.

JAMA network open Jun 1, 2022
IMPORTANCE: Retinopathy of prematurity (ROP) is the leading cause of childhood blindness worldwide. Prediction of ROP before onset holds great promise for reducing the risk of blindness.
Humans Retrospective Studies Female Infant Deep Learning Retinopathy of Prematurity Blindness Infant, Newborn Risk Factors Male
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Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning.

Journal of digital imaging Jul 8, 2021
Retinopathy of prematurity (ROP) is a potentially blinding disorder seen in low birth weight preterm infants. In India, the burden of ROP is high, with nearly 200,000 premature infants at risk. Early detection through screening and treatment can prev...
Retinopathy of Prematurity Infant, Newborn Deep Learning Retina Humans Infant, Premature Infant, Low Birth Weight
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Automated Explainable Multidimensional Deep Learning Platform of Retinal Images for Retinopathy of Prematurity Screening.

JAMA network open May 3, 2021
IMPORTANCE: A retinopathy of prematurity (ROP) diagnosis currently relies on indirect ophthalmoscopy assessed by experienced ophthalmologists. A deep learning algorithm based on retinal images may facilitate early detection and timely treatment of RO...
Infant, Premature Neonatal Screening Ophthalmoscopy Retinopathy of Prematurity Sensitivity and Specificity Male Deep Learning Area Under Curve Humans Female Infant, Newborn
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Key factors in a rigorous longitudinal image-based assessment of retinopathy of prematurity.

Scientific reports Mar 8, 2021
To describe a database of longitudinally graded telemedicine retinal images to be used as a comparator for future studies assessing grader recall bias and ability to detect typical progression (e.g. International Classification of Retinopathy of Prem...
Humans Artificial Intelligence Female Telemedicine Infant, Premature Ophthalmoscopy Retinopathy of Prematurity Infant, Newborn Male Image Processing, Computer-Assisted
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Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras.

Ophthalmology. Retina Feb 6, 2021
PURPOSE: Stage is an important feature to identify in retinal images of infants at risk of retinopathy of prematurity (ROP). The purpose of this study was to implement a convolutional neural network (CNN) for binary detection of stages 1, 2, and 3 in...
Nepal Retinopathy of Prematurity Photography Humans North America Female ROC Curve Image Processing, Computer-Assisted Area Under Curve Reference Standards Gestational Age Birth Weight Datasets as Topic Male Diagnosis, Computer-Assisted Deep Learning Infant, Newborn Reproducibility of Results Sensitivity and Specificity
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Evaluation of a Deep Learning-Derived Quantitative Retinopathy of Prematurity Severity Scale.

Ophthalmology Oct 27, 2020
PURPOSE: To evaluate the clinical usefulness of a quantitative deep learning-derived vascular severity score for retinopathy of prematurity (ROP) by assessing its correlation with clinical ROP diagnosis and by measuring clinician agreement in applyin...
Follow-Up Studies Gestational Age Ophthalmoscopy Retinopathy of Prematurity Retinal Vessels Retrospective Studies Infant, Newborn Severity of Illness Index Deep Learning Humans Algorithms
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Automated detection of early-stage ROP using a deep convolutional neural network.

The British journal of ophthalmology Aug 23, 2020
BACKGROUND/AIM: To automatically detect and classify the early stages of retinopathy of prematurity (ROP) using a deep convolutional neural network (CNN).
Humans Neural Networks, Computer Algorithms Retinopathy of Prematurity Sensitivity and Specificity Cross-Sectional Studies Male Retrospective Studies Female Infant, Newborn Diagnosis, Computer-Assisted ROC Curve Image Processing, Computer-Assisted Birth Weight Infant, Premature Infant, Low Birth Weight Gestational Age
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Variability in Plus Disease Identified Using a Deep Learning-Based Retinopathy of Prematurity Severity Scale.

Ophthalmology. Retina May 4, 2020
PURPOSE: Retinopathy of prematurity is a leading cause of childhood blindness worldwide, but clinical diagnosis is subjective, which leads to treatment differences. Our goal was to determine objective differences in the diagnosis of plus disease betw...
Retrospective Studies Female Infant, Newborn Male Humans Algorithms Retinopathy of Prematurity Severity of Illness Index Deep Learning Gestational Age
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Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach.

Translational vision science & technology Feb 14, 2020
PURPOSE: Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is diagnosed by clinical ophthalmoscopic examinations or reading retinal images. Plus disease, defined as abnormal tortuosity and dilation of the posterior retinal blo...
Retinopathy of Prematurity Retinal Vessels Child Area Under Curve Ophthalmoscopy Humans Neural Networks, Computer Infant, Newborn
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Artificial Intelligence in Retinopathy of Prematurity Diagnosis.

Translational vision science & technology Feb 10, 2020
Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The diagnosis of ROP is subclassified by zone, stage, and plus disease, with each area demonstrating significant intra- and interexpert subjectivity and disagreemen...
Humans Retinopathy of Prematurity Child Infant, Low Birth Weight Artificial Intelligence Infant, Newborn
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