AIMC Topic: Retinopathy of Prematurity

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Is Artificial Intelligence for Retinopathy of Prematurity Ready to Go?

JAMA ophthalmology Apr 1, 2024
Infant, Newborn Infant, Premature Retinopathy of Prematurity Humans Artificial Intelligence
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Artificial Intelligence Poised to Improve Retinopathy of Prematurity Screening.

Ophthalmology. Retina Jan 1, 2024
Artificial Intelligence Infant, Newborn Retinopathy of Prematurity Humans
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Multicenter Validation of Deep Learning Algorithm ROP.AI for the Automated Diagnosis of Plus Disease in ROP.

Translational vision science & technology Aug 1, 2023
PURPOSE: Retinopathy of prematurity (ROP) is a sight-threatening vasoproliferative retinal disease affecting premature infants. The detection of plus disease, a severe form of ROP requiring treatment, remains challenging owing to subjectivity, freque...
Humans Infant, Newborn Infant Deep Learning Artificial Intelligence Algorithms Retinopathy of Prematurity Australia Gestational Age
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Fairness and generalisability in deep learning of retinopathy of prematurity screening algorithms: a literature review.

BMJ open ophthalmology Aug 1, 2023
BACKGROUND: Retinopathy of prematurity (ROP) is a vasoproliferative disease responsible for more than 30 000 blind children worldwide. Its diagnosis and treatment are challenging due to the lack of specialists, divergent diagnostic concordance and va...
Retinopathy of Prematurity Algorithms Infant, Newborn Deep Learning Humans Reproducibility of Results Child Artificial Intelligence
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Commentary: Deep learning in retinopathy of prematurity: Where do we stand?

Indian journal of ophthalmology Apr 1, 2022
Ophthalmoscopy Retinopathy of Prematurity Infant, Newborn Deep Learning Infant, Premature Humans
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Assessing the Value of Artificial Intelligence in Retinopathy of Prematurity Screening-Be Specific With Regard to the Data.

JAMA ophthalmology Apr 1, 2022
Gestational Age Retinopathy of Prematurity Mass Screening Infant, Low Birth Weight Artificial Intelligence Infant, Newborn Humans
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EVALUATION OF ARTIFICIAL INTELLIGENCE-BASED QUANTITATIVE ANALYSIS TO IDENTIFY CLINICALLY SIGNIFICANT SEVERE RETINOPATHY OF PREMATURITY.

Retina (Philadelphia, Pa.) Jan 1, 2022
PURPOSE: To evaluate the screening potential of a deep learning algorithm-derived severity score by determining its ability to detect clinically significant severe retinopathy of prematurity (ROP).
Humans Algorithms Retrospective Studies Retinopathy of Prematurity Artificial Intelligence ROC Curve Follow-Up Studies Gestational Age Ophthalmoscopy Male Retina Female Severity of Illness Index Infant, Newborn Deep Learning
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Predicting ROP Severity by Artificial Intelligence: Pragmatic Versus Knowledge-Based Approach.

Pediatrics Dec 1, 2021
Artificial Intelligence Gestational Age Infant, Newborn Humans Retinopathy of Prematurity
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Single-Examination Risk Prediction of Severe Retinopathy of Prematurity.

Pediatrics Dec 1, 2021
BACKGROUND AND OBJECTIVES: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness. Screening and treatment reduces this risk, but requires multiple examinations of infants, most of whom will not develop severe disease. Previous wo...
Retinopathy of Prematurity Humans Artificial Intelligence Early Diagnosis Infant, Newborn Birth Weight Gestational Age Logistic Models Sensitivity and Specificity Predictive Value of Tests Fundus Oculi Risk Severity of Illness Index Area Under Curve
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Reducing Blindness Resulting from Retinopathy of Prematurity Using Deep Learning.

Ophthalmology Jul 1, 2021
Retinopathy of Prematurity Blindness Deep Learning Humans Infant, Low Birth Weight Infant, Newborn
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