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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Autors principals:	Yi-Ming Guo, Kexin Wu, Juan Huang, Bo Ma, Lu Ye
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2026-01-01
Col·lecció:	Frontiers in Medicine
Matèries:	artificial intelligence axial elongation early-onset high myopia fundus tessellation density pediatric myopia
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fmed.2025.1663903/full
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