Actively Recruiting
Artificial Intelligence-assisted CT for Risk Stratification in Coronary Artery Disease to Prevent Future Coronary Events and Improve Outcomes
Led by University of Galway · Updated on 2026-05-11
10000
Participants Needed
1
Research Sites
N/A
Total Duration
On this page
Sponsors
U
University of Galway
Lead Sponsor
S
Science Foundation Ireland
Collaborating Sponsor
AI-Summary
What this Trial Is About
Researchers are evaluating whether artificial intelligence (AI)-assisted cardiac CT imaging can improve the prediction of cardiovascular risk and future coronary events in adults undergoing medically needed cardiac CT scans. This observational study aims to understand how AI-enhanced cardiac CT assesses risk in a real-world adult population, and how CT-derived plaque features relate to clinical, biochemical, and lifestyle factors. It also compares subgroups, including those undergoing additional imaging like optical coherence tomography (OCT), to explore associations with cardiovascular risk and plaque vulnerability. Participants will have a single baseline visit where demographic and medical data are collected, including blood samples for cardiovascular and metabolic biomarkers, a resting ECG, and a lifestyle and health questionnaire. They will receive a non-invasive cardiac CT scan interpreted by experts, with some possibly receiving heart rate-lowering medication if needed for image quality. A subset undergoing invasive imaging will provide additional data for comparison. Data collection follows strict quality assurance and privacy procedures. Throughout the study, researchers will gather detailed clinical, imaging, laboratory, and lifestyle information, with data securely stored and anonymized. Outcome measures include cardiovascular risk stratification using AI-assisted cardiac CT and correlations between imaging findings and biomarkers. Some participants will be followed longitudinally for up to 5 years to observe plaque changes under statin therapy. The study supports advanced risk modeling and precision medicine approaches, with participant involvement limited to a single baseline visit unless additional imaging or follow-up data are available.
CONDITIONS
Brief Title
AI-assisted CT for Risk Stratification in Coronary Artery Disease (ACTION)
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Adults aged 6518 years
- Undergoing clinically indicated cardiac CT
- Able and willing to provide informed consent
You will not qualify if you...
- History of malignancy
- Abnormal renal function (e.g., eGFR or serum creatinine outside reference range)
- Contraindications to iodinated contrast agents or CT imaging
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person) at time of referral for cardiac CT
Duration - Single baseline visit
Participants undergo clinically indicated cardiac CT and related baseline assessments including blood sampling, ECG, questionnaires, and data collection from medical records.
1 baseline visit (in-person)
Duration - Up to 5 years
Participants are followed up with routine clinical data collection and assessments to monitor cardiovascular risk and changes in plaque composition over time.
Annual visits up to 5 years for follow-up assessments
Trial Site Locations
Total: 1 location
1
Clinical Research Facility
Galway, Ireland
Actively Recruiting
Research Team
F
Faisal Sharif
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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