AI-assisted cardiac CT to predict coronary artery disease risk
Official title: Artificial Intelligence-assisted CT for Risk Stratification in COronary Artery Disease to PreveNt Future Coronary Events and Improve Outcomes
Run by University of Galway · NCT07577609 · Data updated 2026-11-12
This project will try using AI-enhanced heart CT scans to better predict future coronary events in adults who are already getting a clinical cardiac CT.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 10000 (estimated) |
| Sponsor | University of Galway Academic / other |
| Locations | 1 site (Galway) |
| Status | Recruiting |
| Started | December 21, 2022 |
| Main results expected | December 21, 2032 |
| Study ends | December 21, 2032 |
| Registry record updated | May 11, 2026 |
| Trial ID | NCT07577609 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18 or older who are referred for clinically indicated cardiac CT, can give informed consent, and meet standard safety criteria (e.g., normal renal function and no contraindication to iodinated contrast) are ideal candidates.
✕Probably not a fit
People with a history of malignancy, abnormal renal function, contraindication to iodinated contrast, or those not undergoing clinically indicated cardiac CT are unlikely to participate or benefit from this registry.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The ACTION Registry is a prospective, single-centre observational registry at University Hospital Galway that collects multimodal data from adults undergoing clinically indicated cardiac CT. Participants provide consent and give demographic and clinical information, blood samples for cardiovascular and metabolic biomarkers, a resting ECG, and complete lifestyle and risk-factor questionnaires while their standard-of-care cardiac CT is acquired and interpreted. Imaging data, including CT-derived plaque characteristics and a subset with invasive OCT, will be integrated with biochemical and clinical variables for AI-based analyses to stratify cardiovascular risk and explore plaque vulnerability. Data are collected at a baseline visit with routine clinical follow-up information added where available.
Why it matters
Potential benefit: If successful, this approach could help clinicians identify people at higher risk of coronary events earlier and tailor prevention strategies more precisely.
How similar studies have gone: Previous studies have shown promising results for AI-enhanced CCTA in plaque characterization and risk prediction, but large real-world registries validating clinical utility remain limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adults aged ≥18 years * Undergoing clinically indicated cardiac CT * Able and willing to provide informed consent Exclusion Criteria: * History of malignancy * Abnormal renal function (e.g., eGFR or serum creatinine outside reference range) * Contraindications to iodinated contrast agents or CT imaging
Where it's running
-
Clinical Research Facility
Galway, Ireland Recruiting
Study contacts
- Principal investigator: Faisal Sharif, MBBS, PhD, FRCPI, FESC, FACC — University of Galway
- Study coordinator: Faisal Sharif
- Email: faisal.sharif@universityofgalway.ie
- Phone: +353 91524222
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
TAVI and PCI vs SAVR and CABG in low- and intermediate-risk patients with severe aortic stenosis and CAD
This observational study compares TAVI plus PCI to SAVR plus CABG for patients who have both severe aortic stenosis and coronary artery disease.
-
Resveratrol and Estrogen Receptors in Postmenopausal Women with CAD
This study tests whether taking resveratrol is safe and can change estrogen-related markers in postmenopausal women with coronary artery disease.
-
Predicting Plaque Growth Using Blood Flow Stress Markers
This study tests whether combining blood flow patterns in the heart arteries with how blood-flow–sensitive cells respond can help predict which plaques will grow in people with coronary artery disease.
-
Identifying Coronary Plaque Traits with Photon-counting CT and Multimodality Imaging
This study tests whether advanced imaging can better identify risky artery plaques in people with stable angina.
-
Photon-counting CT versus traditional CT for suspected coronary artery disease
This trial tests whether photon-counting CT can better diagnose obstructive CAD in people who need a coronary CTA than the standard energy-integrating detector CT.
-
Pediatric Cardiac Oxygenation Monitoring During Open-Heart Surgery
This study tests whether the SpectroCor Tissue Oxygenation Monitor and its Sensor can track heart tissue oxygen levels in children undergoing open-heart surgery.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.