Multicenter, Prospective Study Evaluating the Accuracy of an AI-based Smartphone Application for Non-invasive Anemia Detection (AnemiAI)

June 24, 2026 updated by: Fabio Biscegli Jatene

Multicenter, Prospective Study Evaluating the Accuracy of an AI-based Smartphone Application for Non-invasive Anemia Detection - AnemiAI Trial

Title: Multicenter, prospective study evaluating the accuracy of an AI-based smartphone application for non-invasive anemia - AnemiAI trial Short Introduction: Anemia is a common clinical condition, often underdiagnosed, with significant impact on surgical, vulnerable, and underserved populations with limited access to laboratory testing. The NiADA technology uses artificial intelligence to estimate hemoglobin levels from images of the lower palpebral conjunctiva, offering a non-invasive, rapid, and accessible alternative to conventional diagnostics. Purpose: To evaluate the diagnostic accuracy of the NiADA application for non-invasive anemia detection, compared to the standard laboratory method (venous blood draw).

Study Design: Following informed consent, participants will undergo clinical data collection and non-invasive hemoglobin estimation using the NiADA application, operated by a trained healthcare professional. The lower palpebral conjunctiva will be imaged using a compatible smartphone camera, and the app result will be recorded immediately. Within four hours of the app assessment, a venous blood sample will be collected for laboratory hemoglobin analysis, following institutional protocols. Both results - from the app and laboratory - will be recorded on the REDCap platform. Additionally, patients will complete a brief acceptability questionnaire. Execution time, technical errors, and task completion rates will also be monitored. All centers will follow a standardized data collection protocol to ensure methodological consistency and data integrity. Study Population Sample Size (n) Adult patients (≥18 years), hospitalized or in outpatient care, with a clinical request for hemoglobin testing.

Inclusion Criteria Age ≥18 years Any gender or ethnicity Clinical indication for venous hemoglobin testing

Study Overview

Status

Active, not recruiting

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

3000

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • São Paulo
      • São Paulo, São Paulo, Brazil, 05403900
        • Instituto do Coração do Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Age >18 years old
  • Any gender or ethnicity
  • Hospitalized or outpatient

Exclusion Criteria:

  • Juandice or other yelid discoloration
  • Severe skin hyperpigmentation
  • Dressings, injuries or deformities at the analysis site
  • Infections, trauma, or scarring on or near the eye
  • Hemoglobinopathies
  • Hemolyzed or invalidez laboratory samples
  • Hemodynamically unstable or unconscious patients
  • Participants with communication or comprehension difficulties
  • Patients who received blood transfusion within the last 24 hours
  • Use of a tropical eye medication
  • Pregnant Women

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: Hemoglobin detection
Patients will be tested both with the app and the gold standard test for anemia.
Detection of Anemia using an AI App

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Sensitivity and Specificity of the NiADA Smartphone Application for Detection of Anemia
Time Frame: From enrollment to completion of anemia assessment (up to 1 week)
Sensitivity and specificity of the NiADA smartphone application for detecting anemia compared with laboratory hemoglobin measurement (g/dL), used as the reference standard.
From enrollment to completion of anemia assessment (up to 1 week)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 2, 2026

Primary Completion (Estimated)

December 31, 2026

Study Completion (Estimated)

December 31, 2026

Study Registration Dates

First Submitted

June 17, 2026

First Submitted That Met QC Criteria

June 24, 2026

First Posted (Actual)

July 1, 2026

Study Record Updates

Last Update Posted (Actual)

July 1, 2026

Last Update Submitted That Met QC Criteria

June 24, 2026

Last Verified

June 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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