Validate an Artificial Intelligence solution for diagnosing cataract using a mobile aided imaging system
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 914
- 试验地点
- 1
- 主要终点
- Detection of cataract with visual acuity 6/18 in general population using smartphone based images of the eye
研究概览
简要总结
· Using an Artificial Intelligence algorithm we are aiming at creating a serviceable option to improve clinical workflow of cataract’s diagnosis in the background of large-population screening (community screening). This will be achieved by using a smartphone and capturing an image of the eye.
· The AI algorithm would be used to identify cataract, normal eye and pseudophakia/aphakia. This would be compared with a slit lamp examination to identify the presence of cataract
The study looks to compare the ability of an AI based prediction of a photograph of the eye to help identify cataracts in the study population.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 50.00 Year(s) 至 99.00 Year(s)(—)
- 性别
- All
入选标准
- •Ages above 50 years All types of cataract Pseudphakia CLear lens.
排除标准
- •Nystagmus Corneal opacity.
结局指标
主要结局
Detection of cataract with visual acuity 6/18 in general population using smartphone based images of the eye
时间窗: At baseline
次要结局
- Acceptance of AI based screening among patients at outreach camps(At baseline)
