NCT05204095Unknown不适用
Intelligent Cataract Screening With Portable Slit-lamp
Sun Yat-sen University1 个研究点 分布在 1 个国家目标入组 3,000 人开始时间: 2022年2月10日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 3,000
- 试验地点
- 1
- 主要终点
- The accuracy of referral
研究概览
简要总结
Based on the portable slit-lamp connected to the smartphone, the artificial intelligence machine learning algorithm is used to establish a cataract screening model by prospectively collecting the anterior segment photographic data, and a portable slit lamp intelligent screening referral model based on the smartphone connection is also established.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
入排标准
- 年龄范围
- — 至 100 Years(Child, Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •0 to 100 years old
排除标准
- •(1) History of eye disease except for age-related cataracts (2) History of eye trauma or eye surgery (3) Unable to cooperate with ophthalmology and general examination (4) Individuals with incomplete information (5) Unwilling to participate in this study
结局指标
主要结局
The accuracy of referral
时间窗: Baseline
The accuracy of referral of AI model will be calculated with the decisions based on the portable slit-lamp images with reference to the ground truth.
次要结局
- The accuracy of cataract diagnosis(Baseline)
研究者
Haotian Lin
Professor
Sun Yat-sen University
研究点 (1)
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