Quantitative color fundus photography parameters as potential biomarkers of axial length progression: evidence from a machine learning cohort study
The RF model, which combines clinical characteristics with CFP-derived quantitative biomarkers, accurately predicts short-term AL progression in children. Retinal microvascular and fundus structural parameters significantly contributed to model performance, underscoring their potential as early indicators of myopic AL elongation.
Authors
- Bei Du (ORCID: https://orcid.org/0000-0002-0947-1541)
- X. J. Zhang (ORCID: https://orcid.org/0009-0001-2753-8332)
- Zixun Wang (ORCID: https://orcid.org/0000-0001-8207-9442)
- Feifei Han
- Ruihua Wei
- Jingjie Ding
- Zhiqing Li
- Jingtao Yu (ORCID: https://orcid.org/0009-0001-1916-0384)
- Xueshuo Xie
Institutions
- Kai Research (United States) (US)
- Han Dan City Eye Hospital - The Third Hospital of Handan (CN)
- Tianjin Medical University Eye Hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Frontiers in Cell and Developmental Biology
- Published
- 2026-01-26
- DOI
- https://doi.org/10.3389/fcell.2026.1753213
- Primary Topic
- Ophthalmology and Visual Impairment Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00