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AI could cut prostate MRI time while keeping accuracy

NCT ID NCT06094322

Diagnosis Sponsor: Centre Hospitalier Universitaire, Amiens 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested whether new deep learning (AI) technology can make prostate MRI scans faster while still finding suspicious nodules. Researchers compared standard MRI sequences with faster, AI-enhanced versions in 34 adults referred for prostate MRI. The goal was to see if the quicker scans could match standard ones in detecting potential cancer, which could reduce exam time and improve patient comfort.

What this could mean

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

Active substance
Deep learning-enhanced MRI sequences
What this could lead to
If successful, this could lead to faster, more comfortable prostate MRI exams without losing diagnostic accuracy.
What could go wrong
This is a small, early-stage study with only 34 participants, so results may not apply to all patients. The AI technique may not detect all cancers as reliably as standard scans.

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

34 people

The number who actually took part.

Started

Jul 2022

Finished

Dec 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

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: * Age ≥ 18 ans * Healthy subject without history of hepatic disease * Patient addressed for an prostate MRI * Ability to give consent Exclusion Criteria: * claustrophobia, * major obesity (\>140 kg), * Patient under guardianship or curators * Age \< 18 years, * Women, * History of prostatectomy or irradiation of the prostate * any contraindication to MRI exam

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Conditions

The condition(s) this trial relates to.

prostate cancer

As listed by the trial registrant

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

Prostate cancer

Contacts and locations

Locations

  • Centre Hospitalier Universitaire d'Amiens

    Amiens, Picardie, 80000, France

More trials for these conditions

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