AI-guided cardiac MRI for automatic heart image positioning
Artificial Intelligence Delivered Cardiac Magnetic Resonance - Prospective Validation
NA · Imperial College London · NCT06061822
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
| Phase | NA |
|---|---|
| Study type | Interventional |
| Enrollment | 150 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Imperial College London (other) |
| Locations | 1 site (London) |
| Trial ID | NCT06061822 on ClinicalTrials.gov |
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.
Who should consider this trial
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.
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.
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 performed: 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.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adult (aged at least 18 years) Exclusion Criteria: * Children (patients below age 18). * Pregnant patients.
Where this trial is running
London
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Cardiovascular Diseases, Healthy Volunteers