Artificial intelligence assisted quantitative analysis of fundus structural and vascular alterations reveals fundus tessellation as a robust biomarker of myopia severity.

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Title: Artificial intelligence assisted quantitative analysis of fundus structural and vascular alterations reveals fundus tessellation as a robust biomarker of myopia severity.
Authors: Sun L; School of Basic Medical Sciences & School of Public Health, Faculty of Medicine, Yangzhou University, Yangzhou, China., Yuan D; Department of Ophthalmology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China., Gu C; Department of Ophthalmology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China., Lou B; Department of Ophthalmology, Children's Hospital of Nanjing Medical University, Nanjing, China., Cheng H; School of Basic Medical Sciences & School of Public Health, Faculty of Medicine, Yangzhou University, Yangzhou, China.
Source: Frontiers in cell and developmental biology [Front Cell Dev Biol] 2026 Jun 30; Vol. 14, pp. 1860617. Date of Electronic Publication: 2026 Jun 30 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101630250 Publication Model: eCollection Cited Medium: Print ISSN: 2296-634X (Print) Linking ISSN: 2296634X NLM ISO Abbreviation: Front Cell Dev Biol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2296-634X
DOI:10.3389/fcell.2026.1860617