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AI joins the fight against lung cancer: can software spot tumors better?

NCT ID NCT07280559

Diagnosis Sponsor: Taipei Veterans General Hospital, Taiwan 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests whether artificial intelligence (AI) software can help radiologists find lung cancer on low-dose CT scans more accurately. About 1,120 adults at risk for lung cancer will be randomly assigned to have their scans read with or without AI assistance. The goal is to see if AI improves cancer detection rates and reduces false alarms, which could lead to better screening outcomes.

What this could mean

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

Active substance
AI-assisted low-dose CT interpretation software
What this could lead to
If successful, this could make lung cancer screening more accurate and efficient, potentially catching more cancers early and reducing unnecessary follow-ups.
What could go wrong
This is an early-stage study that hasn't started recruiting yet. The AI may not improve accuracy enough to change practice, and results may not apply to all 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.

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 1,120 people

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

Expected to start

Dec 2025

An estimate. Start dates often move.

Expected to finish

Dec 2031

An estimate. End dates often move.

Lead sponsor

A government agency

The lead sponsor is a government body.

Who can take part

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

Ages

40 to 74 years

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: 1. Family History of Lung Cancer: Males aged 45-74 or females aged 40-74 with first-degree relatives (parents, siblings, or children) diagnosed with lung cancer. 2. Heavy Smoking History: Ages 50-74 with ≥20 pack-years smoking history, currently smoking or quit \<15 years ago. 3. General Screening Participants: Adults aged 40 years or older attending routine health check-ups. Exclusion Criteria: 1. Pregnant women. 2. Chest CT or other higher-radiation chest imaging within the past 12 months. 3. Individuals holding a major illness certificate for lung cancer. 4. Inability to undergo thoracic puncture or surgery. 5. Inability to hold breath or otherwise complete the scanning procedure. 6. Hemoptysis of unknown cause within the past month. 7. Chest X-ray within the past month showing suspicious lung lesions. 8. Unexplained weight loss \>6 kg within the past year. 9. History of lung cancer within the past three years. 10. Presence of other severe diseases with an expected life expectancy \<5 years.

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Conditions

The condition(s) this trial relates to.

lung neoplasm lung cancer prevention target

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

  • Taipei Veterans General Hospital

    Taipei, Taiwan, 112, Taiwan

More trials for these conditions

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