AI could predict heart attacks before they happen
NCT ID NCT06029387
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looked at whether artificial intelligence (AI) can help predict the risk of heart attacks in people with early signs of heart disease. Researchers analyzed heart scans and health data from 3000 patients. The goal was to find a better way to identify who needs more aggressive treatment to prevent serious heart problems.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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3,000 people
The number who actually took part.
- Started
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Jul 2023
- Finished
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Nov 2024
- Lead sponsor
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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
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Patients with cCTA performed for CAD assessment Exclusion Criteria: 1. Refusal to participate in the study 2. Age \<18 years old 3. Presence of other cardiovascular comorbidities (e.g. severe valvulopathies; non-ischemic cardiomyopathies; etc.)
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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
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IRCCS San Raffaele
Milan, 20132, Italy
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Other studies related to the condition(s) this trial covers.
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