Anemia, Anemia (Diagnosis)
Conditions
Keywords
Anemia, Diagnosis, AI, Artificial Inteligence
Brief summary
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
Interventions
DEVICEAnemIA App
Detection of Anemia using an AI App
Sponsors
Fabio Biscegli Jatene
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Sensitivity and Specificity of the NiADA Smartphone Application for Detection of Anemia | 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. |
Countries
Brazil
Outcome results
None listed