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Quantitative assessment of colour fundus photography in hyperopia children based on artificial intelligence
- Source :
- BMJ Open Ophthalmology, Vol 9, Iss 1 (2024)
- Publication Year :
- 2024
- Publisher :
- BMJ Publishing Group, 2024.
-
Abstract
- Objectives This study aimed to quantitatively evaluate optic nerve head and retinal vascular parameters in children with hyperopia in relation to age and spherical equivalent refraction (SER) using artificial intelligence (AI)-based analysis of colour fundus photographs (CFP).Methods and analysis This cross-sectional study included 324 children with hyperopia aged 3–12 years. Participants were divided into low hyperopia (SER+0.5 D to+2.0 D) and moderate-to-high hyperopia (SER≥+2.0 D) groups. Fundus parameters, such as optic disc area and mean vessel diameter, were automatically and quantitatively detected using AI. Significant variables (p
- Subjects :
- Ophthalmology
RE1-994
Subjects
Details
- Language :
- English
- ISSN :
- 23973269
- Volume :
- 9
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- BMJ Open Ophthalmology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.f7c40b7c8d9e4e60a4c61381bed2877d
- Document Type :
- article
- Full Text :
- https://doi.org/10.1136/bmjophth-2023-001520