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AI assistant for chest X-Rays: can it spot what doctors miss?

NCT ID NCT06686251

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Sep 17, 2026 · Updated 2 times

Summary

This study tests whether an AI tool called LuAna helps doctors find lung problems in chest X-rays more accurately than doctors working alone. About 1,470 adults with breathing issues will have their X-rays read first by doctors, then with AI support. The goal is to see if AI boosts detection of conditions like pneumonia, fluid in the lungs, or an enlarged heart.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
LuAna app (AI diagnostic support software)
What this could lead to
If successful, this could show that AI assistance improves detection of lung problems in chest X-rays, potentially leading to more accurate diagnoses and better patient care.
What could go wrong
This is an early-stage study focused on diagnostic accuracy, not treatment. The AI may not improve detection rates significantly, and results may not apply to all settings or populations.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 2,400 people

The number the study aims to enrol. It can still change while the study runs.

Started

Jan 2026

Expected to finish

Dec 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * 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. Exclusion Criteria: * 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.

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Conditions

The condition(s) this trial relates to.

acute lung injury Cardiomegaly Lung Injury Pleural Effusion pneumothorax pulmonary edema

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • FEAS Curitiba

    RECRUITING

    Curitiba, Paraná, 81130-160, Brazil

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