Validation of a Smartphone App for Anemia Screening Among General Population
Study Details
Study Description
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.
Condition or Disease | Intervention/Treatment | Phase |
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N/A |
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Experimental: Eligible patients for app-based 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. |
Device: A smartphone app for anemia screening
This app can achieve automatic detection of anemia based on patient-sourced images of fingernails and conjunctivae.
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Outcome Measures
Primary Outcome Measures
- The proportion of accurate, mistaken and missed detection of this smartphone app. [27 months]
Eligibility Criteria
Criteria
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
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Zhongshan Ophthalmic Center, Sun Yat-sen University | Guangzhou | Guangdong | China | 510060 |
Sponsors and Collaborators
- Sun Yat-sen University
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- AnemiaApp-2021