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AI-Powered Low-Radiation CT scans could transform emergency diagnosis

NCT ID NCT05651360

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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

Summary

This study tested whether a low-dose CT scan, enhanced with deep learning image reconstruction, can diagnose acute abdominal conditions as accurately as a standard CT scan. 246 adults with abdominal pain received both scans, and the low-dose version used less than 30% of the usual radiation. The goal is to see if AI can maintain diagnostic quality while reducing radiation exposure.

What this could mean

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

Active substance
low-dose CT with deep learning image reconstruction
What this could lead to
If successful, this could allow doctors to use lower-radiation CT scans for diagnosing acute abdominal pain without losing accuracy.
What could go wrong
This is a completed observational study, not a treatment trial. The low-dose CT may still miss some conditions compared to standard CT, and results may not apply to all patients.

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

246 people

The number who actually took part.

Started

Dec 2022

Finished

Jul 2023

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

primary care clinic; university hospital

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: * Patients under evaluation for an acute abdominal condition who are referred to CT of the abdomen and pelvis. * Age \>18 years * The patients must be able to give their oral and written consent to study participation. Exclusion Criteria: * Contraindications regarding contrast enhanced CT examinations like known iodinated contrast media adverse reactions or claustrophobia. * Pregnancy.

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

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

Contacts and locations

Locations

  • Odense University Hospital

    Odense, Denmark

  • Oslo University Hospital

    Oslo, Norway

More trials for these conditions

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