Validation of a Smartphone App for Anemia Screening Among General Population: A Clinical Trial
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 1,000
- 试验地点
- 1
- 主要终点
- The proportion of accurate, mistaken and missed detection of this smartphone app.
研究概览
简要总结
The current standard for anemia screening, complete blood count, presents invasiveness, infrastructure requirements and high costs, leading to serious underestimation of anemia prevalence and insufficient care for anemia patients. Here, the investigators established and validated an artificial intelligence system to achieve automatic detection of anemia based on patient-sourced images of fingernails and conjunctivae. This system has been integrated into a smartphone app to be further validated through hospital-based and population-based clinical trials.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Diagnostic
- 盲法
- None
入排标准
- 年龄范围
- 3 Years 至 87 Years(Child, Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Patients should be aware of the contents and signed for the informed consent.
排除标准
- •Patients who underwent ophthalmic or fingernail surgery in the past 30 days
结局指标
主要结局
The proportion of accurate, mistaken and missed detection of this smartphone app.
时间窗: 27 months
次要结局
未报告次要终点
研究者
Haotian Lin
Clinical Professor
Sun Yat-sen University
