Development and Validation of a Deep Learning-based Myopia and Myopic Maculopathy Detection and Prediction System
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 30,526
- 试验地点
- 1
- 主要终点
- predicted future annual spherical equivalent
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 4 Years 至 18 Years（Child, Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Subjects with fundus images in the Shanghai Child and Adolescent Large-scale Eye Study (SCALE) ;
- •Subjects with fundus images in the Shanghai Time Outside to Reduce Myopia [STORM] trial;
- •Subjects with fundus images in the High Myopia Registration Study [SCALE-HM]
- •Subjects with fundus images in the Shanghai Myopia Screening (SMS) Study;
- •Subjects with fundus images in the Beijing Children Eye Study
- •Subjects with fundus images in the First Affiliated Hospital of Kunming Medical University;
- •Subjects with fundus images at the Ophthalmology Department of the First Affiliated Hospital of Xinjiang Medical University;
- •Subjects with fundus images at the Ophthalmology Department of the Affiliated Hospital of Inner Mongolia Medical University;
- •Subjects with fundus images at Zhongshan Eye Centre, Sun Yat-sen University;
- •Subjects with fundus images in the Hong Kong Children Eye Study;
排除标准
- •Participants with poor-quality fundus images
结局指标
主要结局
predicted future annual spherical equivalent
时间窗: immediately after inputting the data
output of predicting future spherical equivalent task
predicted spherical equivalent
时间窗: immediately after inputting the data
output of assessing spherical equivalent task
myopia staging detection possibility score
时间窗: immediately after inputting the data
output of myopia staging task
myopic maculopathy detection possibility score
时间窗: immediately after inputting the data
output of myopic maculopathy detection task
risk score of myopia and myopic maculopathy progression
时间窗: immediately after inputting the data
output of the progression of myopia and myopic maculopathy predicion task
次要结局
未报告次要终点