Validation of a Smartphone App for Anemia Screening Among General Population

NCT ID: NCT05490823

Last Updated: 2022-08-08

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

1000 participants

Study Classification

INTERVENTIONAL

Study Start Date

2018-12-01

Study Completion Date

2022-12-01

Brief Summary

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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

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Conditions

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Anemia

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Eligible patients for app-based anemia screening

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

Group Type EXPERIMENTAL

A smartphone app for anemia screening

Intervention Type DEVICE

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

Interventions

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A smartphone app for anemia screening

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

Intervention Type DEVICE

Eligibility Criteria

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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
Minimum Eligible Age

3 Years

Maximum Eligible Age

87 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Sun Yat-sen University

OTHER

Sponsor Role lead

Responsible Party

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Haotian Lin

Clinical Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Zhongshan Ophthalmic Center, Sun Yat-sen University

Guangzhou, Guangdong, China

Site Status RECRUITING

Countries

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China

Facility Contacts

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Haotian Lin, M.D., Ph.D

Role: primary

8613802793086

Xiaohang Wu, M.D., Ph.D

Role: backup

8615913177657

Other Identifiers

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AnemiaApp-2021

Identifier Type: -

Identifier Source: org_study_id

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