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Can AI catch lung scarring that doctors might miss?

NCT ID NCT07761377

Diagnosis Sponsor: Taichung Veterans General Hospital Source: ClinicalTrials.gov ↗

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Aug 12, 2026 · Last updated Aug 13, 2026 · Updated 1 time

Summary

This study evaluates whether an AI software called AccuPulmo CT Portal can accurately detect pulmonary fibrosis, a type of lung scarring, on chest CT scans. Researchers will compare the AI's readings against assessments by three lung specialists using 900 past scans. The goal is to see how sensitive and specific the AI is at identifying fibrosis, which could lead to faster and more consistent diagnosis.

What this could mean

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

Active substance
AccuPulmo CT Portal, an AI-assisted medical imaging software that analyzes chest CT images to estimate the proportion of pulmonary fibrosis in the lung.
What this could lead to
If the AI proves accurate, it could help doctors spot pulmonary fibrosis earlier and more consistently on CT scans, potentially speeding up diagnosis and treatment planning.
What could go wrong
This is a retrospective study using existing images, not a real-world test. The AI may not perform as well in broader clinical settings, and its accuracy depends on the reference standard set by specialists.

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 900 people

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

Started

Oct 2025

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.

Who is studied

The study population consists of adults who underwent clinically indicated chest computed tomography examinations for pulmonary disease at Taichung Veterans General Hospital between January 1, 2020, and December 31, 2024. Participants will be retrospectively identified from existing institutional radiology and clinical information systems. Only pre-existing chest computed tomography images, radiology records, and study-related clinical information will be used.

Ages

20 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: * Participants aged 20 years or older at the time of the chest computed tomography examination * Participants who underwent chest computed tomography for pulmonary disease at Taichung Veterans General Hospital between January 1, 2020, and December 31, 2024 * Availability of a completed clinical radiology report * Availability of chest computed tomography images suitable for de-identification and analysis by AccuPulmo CT Portal * Availability of sufficient image information to permit blinded specialist assessment of pulmonary fibrosis Exclusion Criteria: * Missing or incomplete chest computed tomography images * Image quality insufficient for pulmonary fibrosis assessment * Cardiac implants or other devices that substantially interfere with lung texture assessment * Extensive pneumonia that substantially interferes with lung texture assessment * Pleural effusion that substantially interferes with lung texture assessment * Other image abnormalities or artifacts that preclude reliable evaluation of pulmonary fibrosis

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Conditions

The condition(s) this trial relates to.

interstitial lung disease pulmonary fibrosis

As listed by the trial registrant

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

Interstitial lung disease Pulmonary fibrosis

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

  • Taichung Veterans General Hospital City: Taichung

    RECRUITING

    Taichung, 407219, Taiwan

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