Original fundus photographs (2).

<div><p>Objective</p><p>This study aims to utilize artificial intelligence technology to conduct an in-depth analysis of fundus data from myopic children and adolescents, thoroughly exploring the correlation between retinal vascular parameters and axial length (AL), and ultim...

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Main Author:	Chaoyang Zhao (588743) (author)
Other Authors:	Huilin Li (795365) (author), Ziyou Yuan (13955386) (author), Zihan Yang (11310018) (author), Tiantian Wang (1688881) (author), Yan Wang (15435) (author), Qian Tong (3972851) (author), Shaofeng Hao (13955380) (author)
Published:	2025
Subjects:	Medicine Biotechnology Developmental Biology Science Policy Infectious Diseases Biological Sciences not elsewhere classified topcon tnf506 non significantly negatively correlated retinal vascular parameters retinal vascular characteristics potential guiding significance leopard spot density jiandong primary school different refractive errors atrophy arc area average venous tortuosity average vascular tortuosity average branch angle low myopia group high myopia group personalized treatment strategies study clearly demonstrates meticulously analyzed using spearman correlation coefficients mydriatic fundus camera average vascular diameter underwent myopia prevention personalized myopia prevention axial length data correlation among children average diameter axial length fundus data average diameters control strategies taken using study found study aims children using significant correlation fundus photographs fundus images xlink "> ultimately revealing trained algorithms thoroughly exploring scientific basis pathological mechanisms notable differences new perspective myopic children fractal dimension employs pre early screening depth analysis control screening
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Original fundus photographs (2).

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