AI-guided cardiac MRI for automatic heart image positioning
Official title: Artificial Intelligence Delivered Cardiac Magnetic Resonance - Prospective Validation
Run by Imperial College London · NCT06061822 · Data updated 2026-11-12
This project will test an artificial intelligence tool that automatically positions heart images during cardiac MRI for adults having clinical scans to try to make scans faster and more consistent.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 150 (estimated) |
| Sponsor | Imperial College London Academic / other |
| Locations | 1 site (London) |
| Status | Recruiting |
| Started | May 1, 2026 |
| Main results expected | December 1, 2027 |
| Study ends | December 1, 2027 |
| Registry record updated | May 11, 2026 |
| Trial ID | NCT06061822 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18 and over who are referred for clinical cardiac MRI at the Imperial College Healthcare NHS Trust and can give informed consent.
✕Probably not a fit
Children under 18, pregnant patients, and people who require highly specialized or nonstandard cardiac imaging protocols may not benefit from this AI approach.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Investigators developed AI algorithms using a retrospective database of pseudonymised cardiac MRI scans and have validated them retrospectively. This study will recruit adults referred for routine clinical CMR at Imperial College Healthcare NHS Trust and apply the AI to automatically position standard heart views during scanning. Scans performed with AI-assisted positioning will be compared to routine practice on measures such as successful view acquisition, image quality, and total scan time. The goal is prospective clinical validation of the algorithms in real-world scanning workflow.
Why it matters
Potential benefit: If successful, this could shorten scan times, reduce waiting lists, and make cardiac MRI more widely available with more consistent image quality.
How similar studies have gone: Retrospective and pilot studies have shown promising results for AI-assisted imaging positioning, but prospective clinical validation of automated CMR positioning remains limited and this study is among the first to test it in routine practice.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adult (aged at least 18 years) Exclusion Criteria: * Children (patients below age 18). * Pregnant patients.
Where it's running
-
Imperial College Healthcare NHS Trust
London, United Kingdom Recruiting
Study contacts
- Principal investigator: James P Howard, MB BChir PhD — Imperial College London
- Study coordinator: James P Howard, MB BChir PhD
- Email: james.howard1@imperial.ac.uk
- Phone: +44 207 594 5735
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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.