Validation of a Smartphone App for Anemia Screening Among General Population

Sun Yat-sen University1,000 enrolled

Overview

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.

Study Type

INTERVENTIONAL

Allocation

Purpose

DIAGNOSTIC

Masking

NONE

Enrollment

1,000

Conditions

Anemia

Interventions

A smartphone app for anemia screeningDEVICE

This app can achieve automatic detection of anemia based on patient-sourced images of fingernails and conjunctivae.

Eligibility

Sex: ALLMin age: 3 YearsMax age: 87 YearsHealthy volunteers:

Medical Language ↔ Plain English

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

Locations (1)

Zhongshan Ophthalmic Center, Sun Yat-sen University

Guangzhou, Guangdong, China

RECRUITING

Outcomes

Primary Outcomes

The proportion of accurate, mistaken and missed detection of this smartphone app.

Time frame: 27 months

Data from ClinicalTrials.gov

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