Validation of a Smartphone App for Anemia Screening Among General Population

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

Status

UNKNOWN

Phases

Study type

Interventional

Source

ClinicalTrials.gov

Registry ID

NCT05490823

Enrollment

1000

Registered

2022-08-08

Start date

2018-12-01

Completion date

2022-12-01

Last updated

2022-08-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Anemia

Keywords

Smartphone app, Artificial intelligence, Public health

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.

Interventions

DEVICEA smartphone app for anemia screening

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

Study design

Allocation

Intervention model

SINGLE_GROUP

Primary purpose

DIAGNOSTIC

Masking

NONE

Eligibility

Sex/Gender

ALL

Age

3 Years to 87 Years

Healthy volunteers

Yes

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

Design outcomes

Primary

Measure	Time frame
The proportion of accurate, mistaken and missed detection of this smartphone app.	27 months

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026