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AI vs. radiologists: can computers spot lung nodules better?

NCT ID NCT06597968

Diagnosis Sponsor: University Hospitals Cleveland Medical Center 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
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 15, 2026 · Updated 2 times

Summary

This study tests whether an AI tool can accurately detect lung nodules on chest X-rays. About 46,000 chest X-rays will be analyzed by both AI and radiologists to see how well they agree. The goal is to see if AI can help speed up and improve the detection of potentially serious lung nodules.

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

44,900 people

The number who actually took part.

Started

Jun 2025

Expected to finish

Apr 2027

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.

Who is studied

Chest x-rays collected on patients aged 18-89

Ages

18 to 89 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: * Chest X-ray images of patients aged 18 - 89 years. * Modality: CR/DR/DX. * PA/view * Lung nodules measuring 6 mm -30 mm (for chest X-ray images where presence of nodules is required). Exclusion Criteria: * Incomplete view of the chest. * Lateral view * Known lung cancer at the time of Chest x-ray images.

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As listed by the trial registrant

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

Lung nodule

Contacts and locations

Locations

  • University Hospitals

    Cleveland, Ohio, 44106, United States

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