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AI reads heart scans to spot hidden danger

NCT ID NCT06029777

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 completed study tested whether artificial intelligence could analyze CT scans of the heart to better predict who is at risk for heart attacks or death. Researchers looked at data from 2190 patients with coronary artery disease. The goal was to create a risk score that goes beyond standard measures to guide more personalized treatment.

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 AI tool could help doctors identify which patients with non-obstructive coronary artery disease need more aggressive treatment to prevent heart attacks.
What could go wrong
This is a retrospective analysis, not a prospective trial. The AI model needs validation in new patient groups before it can be used 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

2,190 people

The number who actually took part.

Started

Jul 2023

Finished

Sep 2024

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

Patients undergoing clinically indicated cCTA for suspected CAD.

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. Patients with CT performed for CAD assessment between 2017 and 2019. 2. Follow-up duration of at least 4 years. Exclusion Criteria: 1. Refusal to participate in the study 2. Age \<18 years old 3. History of previous coronary revascularization 4. Presence of other cardiovascular comorbidities (e.g. inflammatory cardiomyopathy, valvular cardiomyopathy, idiopathic dilated cardiomyopathy, infiltrative cardiomyopathy)

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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

  • IRCCS San Raffaele

    Milan, 20132, Italy

More trials for these conditions

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