AIMC Topic: Retinopathy of Prematurity

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Automated detection of type 1 ROP, type 2 ROP and A-ROP based on deep learning.

Eye (London, England) Jun 25, 2024
PURPOSE: To provide automatic detection of Type 1 retinopathy of prematurity (ROP), Type 2 ROP, and A-ROP by deep learning-based analysis of fundus images obtained by clinical examination using convolutional neural networks.
Female Infant, Newborn Sensitivity and Specificity Neural Networks, Computer Algorithms Retrospective Studies Area Under Curve Fundus Oculi Infant, Premature Male Deep Learning ROC Curve Humans Gestational Age Retinopathy of Prematurity
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Assessing spectral effectiveness in color fundus photography for deep learning classification of retinopathy of prematurity.

Journal of biomedical optics Jun 18, 2024
SIGNIFICANCE: Retinopathy of prematurity (ROP) poses a significant global threat to childhood vision, necessitating effective screening strategies. This study addresses the impact of color channels in fundus imaging on ROP diagnosis, emphasizing the ...
Color Fundus Oculi Image Interpretation, Computer-Assisted Neural Networks, Computer Infant, Newborn Deep Learning Humans Retinopathy of Prematurity Photography
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Use of an Artificial Intelligence-Generated Vascular Severity Score Improved Plus Disease Diagnosis in Retinopathy of Prematurity.

Ophthalmology Jun 10, 2024
PURPOSE: To evaluate whether providing clinicians with an artificial intelligence (AI)-based vascular severity score (VSS) improves consistency in the diagnosis of plus disease in retinopathy of prematurity (ROP).
Reproducibility of Results Male Severity of Illness Index Artificial Intelligence ROC Curve Infant, Premature Gestational Age Female Infant, Newborn Ophthalmoscopy Retinopathy of Prematurity Retinal Vessels Humans
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A fundus image dataset for intelligent retinopathy of prematurity system.

Scientific data May 27, 2024
Image-based artificial intelligence (AI) systems stand as the major modality for evaluating ophthalmic conditions. However, most of the currently available AI systems are designed for experimental research using single-central datasets. Most of them ...
Artificial Intelligence Infant, Newborn Fundus Oculi Infant, Premature Retinopathy of Prematurity Humans
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The scope of artificial intelligence in retinopathy of prematurity (ROP) management.

Indian journal of ophthalmology Mar 8, 2024
Artificial Intelligence (AI) is a revolutionary technology that has the potential to develop into a widely implemented system that could reduce the dependence on qualified professionals/experts for screening the large at-risk population, especially i...
Disease Management Retinopathy of Prematurity Infant, Newborn India Humans Neural Networks, Computer Artificial Intelligence Algorithms
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Image Analysis-Based Machine Learning for the Diagnosis of Retinopathy of Prematurity: A Meta-analysis and Systematic Review.

Ophthalmology. Retina Jan 17, 2024
TOPIC: To evaluate the performance of machine learning (ML) in the diagnosis of retinopathy of prematurity (ROP) and to assess whether it can be an effective automated diagnostic tool for clinical applications.
Image Processing, Computer-Assisted Retinopathy of Prematurity Humans Machine Learning Infant, Newborn ROC Curve
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Application of Artificial Intelligence in the Early Detection of Retinopathy of Prematurity: Review of the Literature.

Neonatology Jul 25, 2023
Retinopathy of prematurity (ROP) is a potentially blinding disease in premature neonates that requires a skilled workforce for diagnosis, monitoring, and treatment. Artificial intelligence is a valuable tool that clinicians employ to reduce the scree...
Infant, Premature Retinopathy of Prematurity Humans Artificial Intelligence Infant, Newborn
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Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study.

The Lancet. Digital health Apr 21, 2023
BACKGROUND: Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is diagnosed through interval screening by paediatric ophthalmologists. However, improved survival of premature neonates coupled with a scarcity of available expert...
Retrospective Studies Infant, Newborn Sensitivity and Specificity Infant Deep Learning Child Humans Infant, Premature Retinopathy of Prematurity
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Deep learning synthetic angiograms for individuals unable to undergo contrast-guided laser treatment in aggressive retinopathy of prematurity.

Eye (London, England) Feb 1, 2023
Retinopathy of Prematurity Humans Laser Coagulation Treatment Outcome Gestational Age Lasers Angiography Infant, Premature Retrospective Studies Infant, Newborn Deep Learning
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Response to: 'Deep learning synthetic angiograms for individuals unable to undergo contrast-guided laser treatment in aggressive retinopathy of prematurity'.

Eye (London, England) Jan 21, 2023
Lasers Angiography Humans Infant, Premature Infant, Newborn Retinopathy of Prematurity Retrospective Studies Gestational Age Deep Learning Laser Coagulation Treatment Outcome
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