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AI could help detect lung cancer earlier in High-Risk smokers

NCT ID NCT07617636

Knowledge-focused Sponsor: AstraZeneca Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 04, 2026 · Updated 3 times

Summary

This study will enroll 1,500 current or former smokers aged 50-80 to see if an artificial intelligence (AI) model can help doctors better detect lung nodules and predict cancer spread. Participants will undergo CT scans, and the AI's results will be compared to standard radiologist readings. The goal is to improve lung cancer risk stratification and early detection.

What this could mean

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

What this could lead to
If successful, this could show that AI helps doctors spot lung cancer earlier and better predict which nodules are dangerous, leading to more personalized screening.
What could go wrong
This is an observational study, not a treatment trial. The AI model may not perform better than standard methods, and results may not apply to other populations or settings.

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.

Participants

About 1,500 people

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

Expected to start

Sep 2026

An estimate. Start dates often move.

Expected to finish

Aug 2027

An estimate. End dates often move.

Lead sponsor

A company

The lead sponsor is a pharmaceutical, biotech, or medical-device company.

Who can take part

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

Who is studied

The study population includes individuals at high risk for lung cancer enrolled in the ProPulmão screening program. A convenience sample of 1,500 high-risk individuals will be included.

Ages

50 to 80 years

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: * Individuals of both sexes, smokers or former smokers for a maximum of 15 years; * Smoking history of 20 pack-years or more; * Between 50 and 80 years old; * Provision of Free and Informed Consent in writing, signed and dated. Exclusion Criteria: * Individuals who are unable to undergo a CT scan; * Individuals who cannot tolerate lying on their back for more than 10 minutes continuously; * Individuals who present with symptoms highly suggestive of lung cancer (hemoptysis, chest pain, altered cough pattern, unintentional weight loss greater than 10 kg); * Diagnosis of severe heart disease while using multiple medications; * Diagnosis of severe lung disease, using multiple medications and/or requiring home oxygen therapy; * History of radiation therapy to the chest area; * Individuals undergoing cancer evaluation or treatment; * Individuals exhibiting signs of respiratory distress (nasal flaring, suprasternal retraction, use of accessory muscles, cyanosis); * Pregnancy.

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Conditions

The condition(s) this trial relates to.

lung cancer lung neoplasm neoplasm

As listed by the trial registrant

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

Lung cancer

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

  • Research Site

    São Paulo, Brazil

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