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AI cuts radiation in lung scans by 83% in new study

NCT ID NCT07035977

Diagnosis 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested an AI system called DeepPriorCBCT that reconstructs lung CT images from very low radiation scans (one-sixth the usual dose). 138 participants each received both a low-dose and a conventional-dose scan. The goal was to see if the AI could produce images good enough for doctors to diagnose lung nodules. The study is complete, and results will show whether the AI can reduce radiation exposure without sacrificing image quality.

What this could mean

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

Active substance
DeepPriorCBCT model (AI software for image reconstruction)
What this could lead to
If successful, this AI could allow lung scans with much less radiation, making repeated imaging safer for patients.
What could go wrong
This is an early-stage validation study with 138 participants. The AI may not perform as well in real-world settings or with different equipment.

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

138 people

The number who actually took part.

Started

May 2025

Finished

Jul 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

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: 1. Participants will receive percutaneous thoracic puncture under the guidance of CBCT during the study period. 2. The participants' medical records containing basic information, medical history, etc are complete. 3. Participants can understand the study's purpose, procedures, potential risks, and benefits, and voluntarily signs a written informed consent form. Exclusion Criteria: 1. Participants are under the age of 18. 2. Participants are suffering from severe mental illness or cognitive impairment, unable to understand the study and sign. 3. Participants are pregnant or breastfeeding women. 4. Participants are concurrent participating in other programs that affect the results of this study.

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As listed by the trial registrant

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

Lung nodules

Contacts and locations

Locations

  • The First Affiliated Hospital East Campus of Zhengzhou University

    Zhengzhou, Henan, China

  • The First Affiliated Hospital of Zhengzhou University

    Zhengzhou, Henan, China

  • Wuhan Union Hospital

    Wuhan, Hubei, 430022, China

  • Wuhan Union Jinyin Lake Hospital

    Wuhan, Hubei, 430022, China

  • Wuhan Union West Hospital

    Wuhan, Hubei, 430022, China

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