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AI could help doctors diagnose lung cancer faster during a bronchoscopy

NCT ID NCT07662967

Diagnosis Sponsor: Azienda Ospedaliera di Rilievo Nazionale A.Cardarelli 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026

Summary

This study tests an artificial intelligence (AI) prototype designed to quickly evaluate tissue samples taken during a bronchoscopy, a procedure used to diagnose lung cancer. The AI analyzes microscope images of the samples to determine if they are adequate for diagnosis and whether they appear benign or malignant. The study involves 65 adults undergoing bronchoscopy, and the AI's results are compared to the final lab diagnosis. This is a pilot study to see if the AI works well enough to be tested in larger trials.

What this could mean

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

Active substance
Artificial intelligence prototype for digital rapid on-site evaluation
What this could lead to
If successful, this AI could help doctors quickly determine if a tissue sample is adequate for diagnosis, potentially reducing the need for repeat procedures and speeding up lung cancer detection.
What could go wrong
This is a small, early pilot study with 65 participants. The AI is not yet approved for medical use and is only being tested for research. It may not perform as well in real-world 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 65 people

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

Expected to start

Jul 2026

An estimate. Start dates often move.

Expected to finish

Mar 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

patients with clinical indication for diagnostic bronchoscopy with EBUS-TBNA for mediastinal lymphadenopathy and/or TBNA on peripheral lung lesions, according to ACCP/ERS-ESTS guidelines and the Unit's diagnostic pathways.

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 * Age ≥ 18 years. * Clinical indication for diagnostic bronchoscopy with EBUS-TBNA for mediastinal lymphadenopathy and/or TBNA on peripheral lung lesions, according to ACCP/ERS-ESTS guidelines and the Unit's diagnostic pathways. * The procedure will be performed in two-person mode with IP-ROSE performed as per the center's SOP. * Ability to provide written informed consent. * Willingness to undergo the required follow-up. Exclusion Criteria * Absolute contraindications to bronchoscopy. * Known histological diagnosis of the target lesion (except re-staging). * Concomitant interventional procedures that alter the standard sequence. * Inability to provide written informed consent. * Any condition that, in the investigator's judgment, compromises patient safety or the reliability of the data.

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Conditions

The condition(s) this trial relates to.

disease lung cancer lung neoplasm neoplasm of mediastinum

As listed by the trial registrant

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

Ai (artificial intelligence) Bronchoscopy Ebus guided transbronchial needle aspiration Lung cancer (diagnosis) Lung neoplasms Mediastinal ( chest) masses Mediastinal lymphadenopathy

How to take part

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

  1. 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 ↗

  2. 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.

More trials for these conditions

Other studies related to the condition(s) this trial covers.