AIMC Topic: Retinopathy of Prematurity

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Applications of Artificial Intelligence for Retinopathy of Prematurity Screening.

Pediatrics Mar 1, 2021
OBJECTIVES: Childhood blindness from retinopathy of prematurity (ROP) is increasing as a result of improvements in neonatal care worldwide. We evaluate the effectiveness of artificial intelligence (AI)-based screening in an Indian ROP telemedicine pr...
India Oxygen Severity of Illness Index ROC Curve Gestational Age Retinopathy of Prematurity Hospital Units Telemedicine Linear Models Female Infant, Newborn Sensitivity and Specificity Male Artificial Intelligence Retrospective Studies Humans
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A Potential Solution to Plus Disease Variability.

Ophthalmology. Retina Oct 1, 2020
Deep Learning Retinopathy of Prematurity Humans Infant, Newborn Infant, Premature, Diseases
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Artificial intelligence for retinopathy of prematurity.

Current opinion in ophthalmology Sep 1, 2020
PURPOSE OF REVIEW: In this article, we review the current state of artificial intelligence applications in retinopathy of prematurity (ROP) and provide insight on challenges as well as strategies for bringing these algorithms to the bedside.
Image Interpretation, Computer-Assisted Retinopathy of Prematurity Algorithms Infant, Newborn Humans Neural Networks, Computer Artificial Intelligence Machine Learning
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Workforce Shortage for Retinopathy of Prematurity Care and Emerging Role of Telehealth and Artificial Intelligence.

Pediatric clinics of North America Aug 1, 2020
Retinopathy of prematurity (ROP) is the leading cause of childhood blindness in very-low-birthweight and very preterm infants in the United States. With improved survival of smaller babies, more infants are at risk for ROP, yet there is an increasing...
Ophthalmologists Intensive Care Units, Neonatal Neonatal Screening Retinopathy of Prematurity Infant Surveys and Questionnaires Telemedicine Artificial Intelligence Infant, Premature Humans Infant, Newborn United States
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Application of Artificial Intelligence in Targeting Retinal Diseases.

Current drug targets Jan 1, 2020
Retinal diseases affect an increasing number of patients worldwide because of the aging population. Request for diagnostic imaging in ophthalmology is ramping up, while the number of specialists keeps shrinking. Cutting-edge technology embedding arti...
Angiogenesis Inhibitors Tomography, Optical Coherence Vascular Endothelial Growth Factor A Macular Degeneration Diabetic Retinopathy Artificial Intelligence Humans Retinopathy of Prematurity
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Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.

JAMA ophthalmology Jul 1, 2018
IMPORTANCE: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The decision to treat is primarily based on the presence of plus disease, defined as dilation and tortuosity of retinal vessels. However, clinical diagn...
Retinal Vessels ROC Curve Image Interpretation, Computer-Assisted Infant Infant, Newborn Deep Learning Reproducibility of Results Sensitivity and Specificity Algorithms Retinopathy of Prematurity Male Female Infant, Premature Photography Humans Gestational Age Neural Networks, Computer
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