NCT05835115

Development and Validation of a Deep Learning-based Myopia and Myopic Maculopathy Detection and Prediction System

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 30,526 (actual)
• Sponsor: Shanghai Eye Disease Prevention and Treatment Center · Academic / Other
• Sex: All
• Age: 4 Years – 18 Years
• Healthy volunteers: Not accepted

Summary

Myopia has become a global public health issue. Myopia affects the psychological health of children and adolescents and poses a financial burden. Therefore, early detection and prediction of children at a high risk of myopia development and progression are critical for precise and effective interventions. In this study, we developed a deep learning system DeepMyopia, based on fundus images with the following objectives: 1) to predict myopia onset and progression; 2) To detect myopic macular degeneration for AI-assisted diagnosis; 3) To predict the development of myopic macular degeneration; 4) evaluate its cost-effectiveness.

Detailed description

Myopia has become a global public health issue. Myopia affects the psychological health of children and adolescents and poses a financial burden. Furthermore, as myopia progresses it increases the risk of ocular complications such as myopic macular degeneration, leading to irreversible visual impairment or even blindness. According to the World Health Organization , more than 1 billion people worldwide are living with vision impairment caused by myopia, hyperopia, and other problems due to late detection. Therefore, early detection and prediction of children at a high risk of myopia development and progression are critical for precise and effective interventions. In this study, we developed a deep learning system DeepMyopia, based on fundus images with the following objectives: 1) to predict myopia onset and progression; 2) To detect myopic macular degeneration for AI-assisted diagnosis; 3) To predict the development of myopic macular degeneration; 4) evaluate its cost-effectiveness.

Conditions

• Myopia
• Myopic Macular Degeneration

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	A deep learning-based myopia and myopic maculopathy detection and prediction system	This deep learning system is capable of analyzing fundus images for myopia staging, myopic maculopathy detection, cycloplegic refraction estimation and prediction, and risk stratification of myopia and myopic maculopathy onset.

Timeline

• Start date: 2022-04-01
• Primary completion: 2023-04-01
• Completion: 2023-04-01
• First posted: 2023-04-28
• Last updated: 2023-04-28

Locations

1 site across 1 country: China