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临床试验/NCT05204095
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

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

发起方
Sun Yat-sen University
申办方类型
Other
责任方
Principal Investigator
主要研究者

Haotian Lin

Professor

Sun Yat-sen University

研究点 (1)

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