Myopia Prediction Using Machine Learning: An External Validation Study [PDF]
VisionWe previously developed machine learning (ML) models for predicting cycloplegic spherical equivalent refraction (SER) and myopia using non-cycloplegic data and following a standardized protocol (cycloplegia with 0.5% tropicamide and biometry using NIDEK ...
Rajat S. Chandra +5 more
doaj +2 more sources
International Journal of Ophthalmology, 2015 AIM: To compare the results of noncycloplegic photorefraction, cycloplegic photorefraction and cycloplegic refraction in preschool and non-verbal children.
Ozdemir Ozdemir +4 more
doaj +3 more sources
Machine learning-driven prediction of cycloplegic refractive error in Chinese children [PDF]
Frontiers in Cell and Developmental BiologyObjectiveTo develop and validate machine learning (ML) models for predicting cycloplegic spherical equivalent refraction (SER) using non-cycloplegic parameters, addressing challenges in pediatric ophthalmic assessments.MethodsA prospective cohort of 2 ...
Bichi Chen +10 more
doaj +2 more sources
Prevalence of clinically significant refractive error in children in Europe: Systematic review and meta-analysis. [PDF]
PLoS ONEPurposeThis meta-analysis estimated clinically significant refractive error prevalence in European children and examined variations based on cycloplegic versus non-cycloplegic refraction, age and sex.MethodsA systematic review (PubMed, Cochrane Library ...
Megan Doyle +4 more
doaj +2 more sources
Interpretable machine learning models for predicting childhood myopia from school-based screening data [PDF]
Scientific ReportsThis study assessed the efficacy of various diagnostic indicators and machine learning (ML) models in predicting childhood myopia. A total of 2,365 children aged 5–12 years were included in the study.
Qi Feng +5 more
doaj +2 more sources
Optimizing myopia screening referral guidelines for children aged 4 to 18 based on non-cycloplegic indicators [PDF]
BMC OphthalmologyBackground To evaluate the stability and predictive ability of uncorrected visual acuity (UCVA), non-cycloplegic refraction (NCR), and axial length (AL) as indicators in non-cycloplegic school vision screening for myopia.
Pingping Lyu +4 more
doaj +2 more sources
Seizure associated with topical cyclopentolate: a case report
Saudi Journal of Emergency Medicine, 2023 Introduction: Cyclopentolate is a widely used mydriatic agent with a rapid onset cycloplegic effect. Systemic toxicity from an ophthalmic application is uncommon.
Suad Al-Sulaimani +3 more
doaj +1 more source
Comparison of Refractive Error Measurements between KR-1W Wavefront Analyser and KR-8800 Automatic Refractometer in School Children [PDF]
Journal of Clinical and Diagnostic Research, 2018 Introduction: A number of methods and instruments, such as retinoscopy, Hartmann-Shack sensor, ray tracing method and rotary prism technology, are available for assessing refractive status in clinic.
Jing Dong, Qiang Wu, Xiaogang Wang
doaj +1 more source
Achieving Optimal Correction for Young Myopic Children: A Concept Study
Biomedicine Hub, 2022 The purpose of this article is to explore alternative ways of achieving optimal correction for myopic children who cannot cooperate to subjective manifest refraction (SR).
Sara Bøgelund Rasmussen +2 more
doaj +1 more source
Pre- and Postcycloplegic Refractions in Children and Adolescents. [PDF]
PLoS ONE, 2016 To determine the difference between cycloplegic and non-cycloplegic refractive error and its associated factors in Chinese children and adolescents with a high prevalence of myopia.A school-based study including 1565 students aged 6 to 21 years was ...
Dan Zhu +7 more
doaj +1 more source