Axial length prediction Model based on screening fundus photography data in school-age children

Key Points

• The model predicts axial length effectively, contributing to better myopia management in children.
• Significant prediction accuracy was observed, with metrics demonstrating a strong correlation in the dataset.
• Analysis used screening fundus photography data across multiple schools, ensuring a diverse sample.
• Highlights the need for innovative tools in pediatric eye care, potentially improving early intervention strategies.