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New Open-Source AI aims to speed up chest X-Ray reports

NCT ID NCT07117266

Knowledge-focused Sponsor: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology 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
Running, but no longer taking on new participants.
Completed This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 24, 2026 · Last updated Jun 26, 2026 · Updated 1 time

Summary

This study tested a new AI system (Janus Pro 1B-CXR) designed to help radiologists interpret chest X-rays. The AI was developed using public data and evaluated in 296 patients with suspected chest diseases. Researchers compared report quality, reading time, and agreement between junior radiologists using the AI and those working without it. The goal is to see if this low-cost, open-source AI can improve efficiency and accuracy in clinical practice, especially in areas with a shortage of radiologists.

What this could mean

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

Active substance
AI system (Janus Pro 1B-CXR) for chest X-ray interpretation
What this could lead to
If successful, this AI could help radiologists work faster and more accurately, especially in areas with few specialists, potentially improving diagnosis of chest diseases like pneumonia or lung cancer.
What could go wrong
This is a small, completed study (296 participants) testing a new AI model. The AI may not perform as well in real-world settings or with different patient groups, and it hasn't been compared to other advanced AI systems in routine practice.

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

296 people

The number who actually took part.

Started

Aug 2025

Finished

Aug 2025

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

Children (under 18), adults (18 to 64) and older adults (65 and over)

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. clinically suspected thoracic diseases (such as pneumonia, tuberculosis, or lung cancer) requiring CXR-assisted diagnosis; 2. patients providing written informed consent for research data use; 3. complete clinical records (including chief complaints, medical history, and laboratory test results); 4. patients with no historical chest X-ray images and no need for comparison with previous chest X-ray images; 5. Patients who underwent only posteroanterior (PA) chest X-rays without lateral chest X-rays. Exclusion Criteria: 1. substandard CXR image quality (including severe motion artifacts, over-/underexposure, or missing anatomical structures); 2. pregnant or lactating women.

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Conditions

The condition(s) this trial relates to.

lung cancer pneumonia tuberculosis

As listed by the trial registrant

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

Ai (artificial intelligence) Radiology X-ray

Contacts and locations

Locations

  • The First Affiliated Hospital of Henan University of science and technology

    Luoyang, 471003, China

  • The First Affiliated Hospital of Zhengzhou University

    Zhengzhou, 450002, China

  • Union Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology

    Wuhan, 430023, China

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