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AI-Powered heart scans could sharpen diagnosis

NCT ID NCT07620457

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 2 times

Summary

This study will test whether a deep learning-based image reconstruction method can improve the quality of coronary CT scans. Researchers will look at existing scans from 200 patients who had a CT angiogram for suspected heart disease. Two radiologists will rate the images on a scale of 1 to 5 to see if the new method makes them clearer.

What this could mean

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

What this could lead to
If successful, this could lead to clearer heart CT scans, helping doctors diagnose coronary artery disease more accurately.
What could go wrong
This is an early observational study, not a treatment trial. The new image reconstruction may not improve diagnosis in 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.

Participants

About 200 people

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

Expected to start

Jun 2026

An estimate. Start dates often move.

Expected to finish

Dec 2026

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

Patients completed CCTA scan aged 18.

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: 1. Datasets from Patients who underwent spectral coronary CT angiography (CCTA). 2. Datasets from study participants with age ≥ 18 years old. 3. Scan parameters that meet the criteria defined in the 5.4.3. Exclusion Criteria: 1. The clinical data information is considered incomplete after evaluation by the investigator. 2. The investigator determined that poor image quality (e.g. obvious artifacts, missing critical scan layers) would not satisfy post-processing analysis. 3. Data of patients deemed inappropriate for inclusion after evaluation by the investigator.

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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.

How to take part

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

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. 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.

Contacts and locations

Locations

  • Zhengzhou Universtidy 1st Affiliated Hospital

    Zhengzhou, Henan, China

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