Evaluation of the Efficacy of Diagnostic Support Algorithms in Chest X-rays- LuAna Trial
1 other identifier
interventional
1,470
1 country
1
Brief Summary
This study aims to evaluate whether the use of AI as a physician support tool is associated with an increase in the detection rate of chest radiographic findings in adults with respiratory complaints, compared to diagnosis performed exclusively by doctors, without AI support. This is a cluster-randomized clinical trial, following the stepped wedge design, and adhering to the guidelines of the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT). In this study, the Diagnostic Support Solution for Chest X-rays - LungAnalysis (LuAna), developed by the Hospital Israelita Albert Einstein (HIAE) within the PROADI-SUS Banco de Imagens, was used. The clinical trial will be conducted in multiple centers with a diverse population from the public health system, to ensure that the algorithms are validated across a broad demographic profile. The expected benefits are significant, providing greater security for patients, increasing doctors' confidence in interpreting chest X-rays, promoting efficiency and cost savings for healthcare services, and offering promising prospects for other AI applications in imaging diagnostics.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2026
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 7, 2024
CompletedFirst Posted
Study publicly available on registry
November 13, 2024
CompletedStudy Start
First participant enrolled
January 5, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 1, 2026
February 2, 2026
January 1, 2026
5 months
November 7, 2024
January 29, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Detection rate
Detection rate of "Radiological Findings", before and after Artificial Intelligence assistance, compared to gold standard (report validated twice by thoracic radiologists blind to the interpretation of the examining physician and AI result).
through study completion, an average of 1 year
Study Arms (1)
App LuAna
EXPERIMENTALfeedback of the artificial intelligence after the inclusion image in app LuAna.
Interventions
Inclusion of chest x-ray images in the LuAna app to receive feedback on lung findings.
Eligibility Criteria
You may qualify if:
- Non-reported chest X-rays (XRts) of individuals aged over 18 years.
- Individuals images with respiratory complaints.
- Chest X-rays taken during the presence of these respiratory symptoms or while being followed up for respiratory disease.
- Chest X-rays taken on any X-ray machine.
- Chest X-rays that include at least one frontal view of the chest.
You may not qualify if:
- Those whose chest X-ray was performed due to a history of trauma, pre-operative risk assessment, lung cancer screening, or exclusively for verifying the correct positioning of a peripheral intravenous catheter (PICC).
- Chest X-rays with technical quality below the minimum required for proper interpretation and diagnosis.
- Cases without at least one frontal view.
- X-rays printed on regular paper.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
FEAS Curitiba
Curitiba, ParanĂ¡, 81130-160, Brazil
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Joselisa Paiva, PhD
Hospital Israelita Albert Einstein
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 7, 2024
First Posted
November 13, 2024
Study Start
January 5, 2026
Primary Completion (Estimated)
June 1, 2026
Study Completion (Estimated)
December 1, 2026
Last Updated
February 2, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will not share