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Can AI make CT scans sharper and more reliable?

NCT ID NCT07767201

Knowledge-focused Sponsor: Philips Clinical & Medical Affairs Global 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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Aug 17, 2026 · Last updated Aug 18, 2026 · Updated 1 time

Summary

This trial evaluates whether an AI-based image reconstruction algorithm, called Precise Image, produces CT scan images that are as good as or better than the current standard method. The study involves adults who have had CT scans using specific Philips systems. The goal is to see if the AI can provide images that are diagnostically acceptable for doctors.

What this could mean

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

Active substance
Precise Image, an AI-based image reconstruction algorithm for CT scans
What this could lead to
If successful, this could support the use of AI-based image reconstruction in routine CT scans, potentially improving image quality and diagnostic accuracy.
What could go wrong
This is an early-stage evaluation, and the AI may not perform as well as standard methods in all cases. The trial focuses on image quality, not direct patient outcomes.

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

About 192 people

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

Expected to start

Oct 2026

An estimate. Start dates often move.

Expected to finish

Mar 2027

An estimate. End dates often move.

Lead sponsor

A company

The lead sponsor is a pharmaceutical, biotech, or medical-device company.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Subjects that are adults over the age of 22 years and scanned by CT Rembra RT, CT Areta RT or CT Rembra.

Ages

23 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: * Subjects scanned by CT Rembra RT, CT Areta RT or CT Rembra according to the department standard of care clinical protocols. * Subjects age \> twenty-two (22) years Exclusion Criteria: * Scans that the site radiologists/medical physicists have deemed as non-diagnostic image quality in the standard practice (e.g. patient movement) * Scans that are not completed due to technical difficulties

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As listed by the trial registrant

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

CT scans Precise image (ai reconstruction feature of CT 7500 RT system)

How to take part

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

  1. The official record

    The full official record for this study. This one lists no contact details, but it is the first place any would appear.

    Open the record ↗

  2. 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.

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