Validation of a Smartphone App for Anemia Screening Among General Population
Not Applicable
- Conditions
- Anemia
- Interventions
- Device: A smartphone app for anemia screening
- Registration Number
- NCT05490823
- Lead Sponsor
- Sun Yat-sen University
- Brief Summary
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 1000
Inclusion Criteria
- Patients should be aware of the contents and signed for the informed consent.
Exclusion Criteria
- Patients who underwent ophthalmic or fingernail surgery in the past 30 days
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Eligible patients for app-based anemia screening A smartphone app for anemia screening Device: A smartphone app for anemia screening This app can achieve automatic detection of anemia based on patient-sourced images of fingernails and conjunctivae.
- Primary Outcome Measures
Name Time Method The proportion of accurate, mistaken and missed detection of this smartphone app. 27 months
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Zhongshan Ophthalmic Center, Sun Yat-sen University
🇨🇳Guangzhou, Guangdong, China