Validation of a Smartphone App for Anemia Screening Among General Population

Sun Yat-sen University

Status: Enrolling

Conditions: Anemia

Treatments: Device: A smartphone app for anemia screening

Study type: Interventional

Funder types: Other

Identifiers

NCT05490823

AnemiaApp-2021

Details and patient eligibility

About

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.

Enrollment: 1,000 estimated patients

Sex: All

Ages: 3 to 87 years old

Volunteers: Accepts Healthy Volunteers

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

Trial design

Primary purpose: Diagnostic

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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1,000 participants in 1 patient group

Eligible patients for app-based anemia screening

Experimental group

Description:

Device: A smartphone app for anemia screening This app can achieve automatic detection of anemia based on patient-sourced images of fingernails and conjunctivae.

Treatment:

Device: A smartphone app for anemia screening