AI could turn routine chest scans into heart attack predictors
NCT ID NCT07181512
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests whether artificial intelligence can detect early signs of coronary artery disease from standard chest CT scans that don't use contrast dye. Researchers will analyze scans from about 1,600 adults to see if the AI can identify dangerous plaque and blockages. If successful, this could allow heart disease screening during routine check-ups without extra cost or radiation.
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
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About 200 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Sep 2025
- Expected to finish
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Dec 2027
An estimate. End dates often move.
- Lead sponsor
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A government agency
The lead sponsor is a government body.
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 non-contrast chest CT and CCTA, either during outpatient or inpatient clinical care, or as part of high-risk health examinations. Both retrospective cases (2015-2024) and prospectively recruited patients (2025) are included from five medical centers in China.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide 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. Age ≥18 years 2. Patients who underwent both non-contrast chest CT and coronary CT angiography (CCTA) within 30 days 3. Coronary segments clearly visualized on non-contrast chest CT Exclusion Criteria: 1. Segments with motion artifacts, metal artifacts, or stents preventing analysis 2. Vessel lumen completely obscured by calcification (unrecognizable vascular course) 3. Inability to match coronary segment location between non-contrast chest CT and CCTA
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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.
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The places running it
2 sites. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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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
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The First Affiliated Hospital of Ningbo University
RECRUITINGNingbo, Zhejiang, 315000, China
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The First Affiliated Hospital of Zhejiang Chinese Medical University
RECRUITINGHangzhou, Zhejiang, 310006, China
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