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Comparison of noncycloplegic and cycloplegic autorefraction in categorizing refractive error data in children.

Padmaja SankaridurgXiangui HeThomas NaduvilathMinzhi LvArthur HoEarl SmithPaul EricksonJianfeng ZhuHaidong ZouXun Xu
Published in: Acta ophthalmologica (2018)
Noncycloplegic assessment of RE in children overestimates myopia and results in a high error rate for emmetropic and hyperopic RE. Adjusting for age and applying uncorrected VA cut-offs to noncycloplegic assessments improves detection of myopic RE and may help in identifying myopic RE in situations where cycloplegia is not available but does not help in identifying the magnitude of refractive error and therefore is of limited value.
Keyphrases
  • young adults
  • machine learning