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Artificial intelligence–assisted quantification of fundus tessellation in early-onset high myopia

PurposeTo quantitatively evaluate fundus tessellation density (FTD) in children with early-onset high myopia (eo-HM) using artificial intelligence (AI)–assisted image analysis and to explore its association with axial length (AL).MethodsThis cross-sectional study included children aged ≤6 years with...

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Principais autores: Yi-Ming Guo, Kexin Wu, Juan Huang, Bo Ma, Lu Ye
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2026-01-01
Serier:Frontiers in Medicine
Fag:
artificial intelligence
axial elongation
early-onset high myopia
fundus tessellation density
pediatric myopia
Online adgang:https://www.frontiersin.org/articles/10.3389/fmed.2025.1663903/full
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