Development of Artificial Intelligence-assissted Diagnostic Program of Glaucoma
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 10,800
- 试验地点
- 1
- 主要终点
- Accuracy of diagnosis by artificial intelligence algorithm
研究概览
简要总结
Glaucoma is currently the second leading cause of irreversible blindness in the world. Our study intends to combine clinical data of glaucoma patients in Zhongshan Ophthalmic Center with Artificial Intelligence techniques to create programs that can screen and diagnose glaucoma.
详细描述
Glaucoma is currently the second leading cause of irreversible blindness in the world, which brings heavy burden to human society. Compared to other ocular diseases, diagnostic process of glaucoma is complicated depends on multiple test results, including visual field test, OCT, etc. How to diagnose glaucoma correctly and fast has always been a hot topic in glaucoma researches. Artificial intelligence is used to study and develop theories and methods that can help simulate and extend human intelligence, which has been utilized in a lot of research fields such as automatic drive and medicine. The study intends to combine clinical data of glaucoma patients in Zhongshan Ophthalmic Center with Artificial Intelligence techniques to create programs that can screen and diagnose glaucoma.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Retrospective
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •able to complete reliable visual field test
- •no history of intraocular surgery or fundus laser
排除标准
- •unable to complete visual field test
结局指标
主要结局
Accuracy of diagnosis by artificial intelligence algorithm
时间窗: from August 2017 to February 2021
Accuracy of diagnosis by artificial intelligence algorithm and compare this result with glaucoma specialists
次要结局
- Specificity of diagnosis by artificial intelligence algorithm(from August 2017 to February 2021)
- Sensitivity of diagnosis by artificial intelligence algorithm(from August 2017 to February 2021)
研究者
Xiulan Zhang
Director of Clinical Research Center
Sun Yat-sen University
