Peripheral Retinal Vessel Density in Children and Adolescents with Myopia: A Deep Learning Assessment

Key Points

• This research aims to assess peripheral retinal vessel density in children and adolescents with myopia using deep learning techniques.
• Assessment of peripheral vessel density through deep learning analysis
• Use of ultra-widefield images for vascular examination
• Comparative analysis across various degrees of myopia
• Exploration of potential blood flow prioritization patterns
• Increased axial length correlates with diminished peripheral vessel density
• Deep learning reveals subclinical vascular changes
• Findings indicate a possible blood flow prioritization to the macular region