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Baseline metrics that may predict future myopia in young children.

Fuensanta A Vera-DiazAshutosh JnawaliAthanasios PanorgiasPeter J BexKristen L Kerber
Published in: Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) (2023)
Although M and AXL were highly correlated, the classification of pre-myopic children into HR or LR was significantly different when using each parameter, with AXL/CR being the most predictive metric. At the end of the longitudinal study, we will be able to assess the predictability of each metric.
Keyphrases
  • tyrosine kinase
  • machine learning
  • deep learning
  • young adults
  • current status
  • optical coherence tomography