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Validation of a Smartphone App for Anemia Screening Among General Population

NCT05490823 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1000

Last updated 2022-08-08

No results posted yet for this study

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.

Conditions

Interventions

DEVICE

A smartphone app for anemia screening

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

Sponsors & Collaborators

  • Sun Yat-sen University

    lead OTHER

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
3 Years
Max Age
87 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-12-01
Primary Completion
2022-12-01
Completion
2022-12-01

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05490823 on ClinicalTrials.gov