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临床试验/NCT05490823
NCT05490823Unknown不适用

Validation of a Smartphone App for Anemia Screening Among General Population: A Clinical Trial

Sun Yat-sen University1 个研究点 分布在 1 个国家目标入组 1,000 人开始时间: 2018年12月1日最近更新:
适应症

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

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

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

Clinical Professor

Sun Yat-sen University

研究点 (1)

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