ReviewTranslational vision science & technology2020
Artificial Intelligence in Retinopathy of Prematurity Diagnosis.
Review in Translational vision science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 86 citations in OpenAlex.
- Artificial intelligence-based algorithms for the diagnosis of retinopathy of prematurity.The Cochrane database of systematic reviews · 2025Pooled it
- Performance of artificial intelligence for the detection of pathological myopia from colour fundus images: a systematic review and meta-analysis.Eye (London, England) · 2024Pooled it
- Machine learning for understanding and predicting neurodevelopmental outcomes in premature infants: a systematic review.Pediatric research · 2023Pooled it
- Application of a Quantitative Vascular Severity Score in Retinopathy of Prematurity in the United States and India: New Insights Into Disease Epidemiology and Pathophysiology.American journal of ophthalmology · 2026Article
- Review
- Optimizing retinopathy of prematurity screening in China using a single objective criterion: a 10-year retrospective analysis.Frontiers in pediatrics · 2026Article
- Macretina: a dataset, to support deep learning assisted retinopathy of prematurity diagnosis.Scientific reports · 2025Article
- Analysis of risk factors for retinopathy of prematurity: a single-center retrospective cohort study.Translational pediatrics · 2025Article
- Predicting onset of myopic refractive error in children using machine learning on routine pediatric eye examinations only.Scientific reports · 2025Article
- Diagnostic Accuracy of Pediatrician-performed Digital Retinal Imaging with 3nethra neo for ROP Screening.Indian journal of pediatrics · 2025Article
- Prediction of retinopathy of prematurity development and treatment need with machine learning models.BMC ophthalmology · 2025Article
- Establishing an objective quantitative method for assessing the severity of plus disease in retinopathy of prematurity.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025Article
- Stakeholder Attitudes on AI Integration in Ophthalmology.Klinische Monatsblatter fur Augenheilkunde · 2025Review
- Affordable ultra-widefield smartphone PedCam for comprehensive pediatric retinal examination.Biomedical optics express · 2024Article
- Retina Fundus Photograph-Based Artificial Intelligence Algorithms in Medicine: A Systematic Review.Ophthalmology and therapy · 2024Review
- A machine learning framework for the quantification of experimental uveitis in murine OCT.Biomedical optics express · 2023Article
- Research progress on diagnosing retinal vascular diseases based on artificial intelligence and fundus images.Frontiers in cell and developmental biology · 2023Review
- Multiomics, artificial intelligence, and precision medicine in perinatology.Pediatric research · 2023Review
- Risk of Neurotoxicity with Multiple General Anaesthetics for Examination Under Anaesthesia in Paediatric Ophthalmology - A Cause for Concern?Clinical ophthalmology (Auckland, N.Z.) · 2023Article
- Latest Trends in Retinopathy of Prematurity: Research on Risk Factors, Diagnostic Methods and Therapies.International journal of general medicine · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
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 disagreement. In addition to improved efficiencies for ROP screening, artificial intelligence may lead to automated, quantifiable, and objective diagnosis in ROP. This review focuses on the development of artificial intelligence for automated diagnosis of plus disease in ROP and highlights the clinical and technical challenges of both the development and implementation of artificial intelligence in the real world.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.