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AI drafts chest CT reports, radiologists just edit

NCT ID NCT07634861

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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

Summary

This study tests whether an artificial intelligence (AI) system can help experienced radiologists write chest CT scan reports more quickly without lowering quality. One hundred board-certified radiologists will interpret complex chest CT cases, sometimes using an AI-generated draft and sometimes writing from scratch. The goal is to see if the AI saves time and whether the final reports are as good as or better than those written without AI.

What this could mean

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

Active substance
AI-generated report for chest CT (device)
What this could lead to
If successful, this AI tool could make chest CT reporting faster and more efficient, helping radiologists handle more cases without sacrificing report quality.
What could go wrong
This is an early-stage study with only 100 participants. The AI may not work well for all types of chest CT findings, and results may not apply to all hospitals or radiologists.

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 100 people

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

Expected to start

Jun 2026

An estimate. Start dates often move.

Expected to finish

Feb 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.

Ages

18 years and older

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: * Active board certification and ongoing routine clinical practice as an attending radiologist * Independent institutional authority for chest CT image interpretation and final official diagnostic report issuance * A minimum of three years of post-certification clinical experience in specialized thoracic imaging * Legal and cognitive competence for study participation, with voluntary provision of written informed consent after full understanding of study purpose, procedures, risks and benefits Exclusion Criteria: * Direct participation in the development, training or validation of the trial's evaluated AI system * Ongoing participation in concurrent studies with potential risks of interpretation bias, cognitive fatigue or study procedure interference (investigator-assessed) * Any actual or perceived conflict of interest related to the evaluated AI system or its developers that may compromise objectivity in image interpretation and diagnostic reporting

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Conditions

The condition(s) this trial relates to.

Thoracic Diseases

As listed by the trial registrant

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

Thoracic diseases

How to take part

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

  1. The places running it

    2 sites. 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

  • Department of Radiology, Zhongshan Hospital, Fudan University

    RECRUITING

    Shanghai, China

  • United Imaging Intelligence, Shanghai

    RECRUITING

    Shanghai, China

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