Validation of a Smartphone App for Anemia Screening Among General Population

Not Applicable

• Conditions: Anemia

• Registration Number: NCT05490823
• Lead Sponsor: Sun Yat-sen University

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.

Detailed Description

Not available

Study Timeline

• Study Start: 2018-12-01
• Status Verified: 2022-08
• Study First Submitted: 2022-08-04
• Study First Submitted QC: 2022-08-04
• Last Update Submitted: 2022-08-04
• Study First Posted: 2022-08-08
• Last Update Posted: 2022-08-08
• Primary Completion: 2022-12-01
• Study Completion: 2022-12-01

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 1000

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

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Primary Outcome Measures

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

Trial Locations

Locations (1)

Zhongshan Ophthalmic Center, Sun Yat-sen University; 🇨🇳 Guangzhou, Guangdong, China