Actively Recruiting
Artificial Intelligence Delivered Cardiac Magnetic Resonance - Prospective Validation
Led by Imperial College London · Updated on 2026-05-11
150
Participants Needed
1
Research Sites
82 weeks
Total Duration
On this page
Sponsors
I
Imperial College London
Lead Sponsor
B
British Heart Foundation
Collaborating Sponsor
AI-Summary
What this Trial Is About
Cardiac MRI (CMR) scanning allows doctors to create detailed images of the heart. However, the need for experienced cardiac radiographers to perform each scan can make CMR's delivery difficult, and some patients in the UK wait more than half a year for a scan. These radiographers must take pictures of different part of the heart, termed "views", each of which must be precisely positioned. The investigators believe they can revolutionise CMR, by using artificial intelligence to automatically position the views so radiographers can focus on more difficult tasks. The investigators have used a retrospective database of pseudonymised (anonymised and linked) CMR scans at our hospital to create these artificial intelligence (AI) algorithms, and they have validated them retrospectively on previous studies. The investigators now wish to test the algorithms prospectively. In this study, the investigators will recruit patients undergoing clinical CMR scans. In addition to the routine images acquired by expert radiographers, the investigators will require a duplicate set of images, positioned and planned by the AI algorithms. The investigators will then compare, within each patient, the AI-planned and expert-radiographer-planned scanning in terms of both speed and image quality.
CONDITIONS
Official Title
Artificial Intelligence Delivered Cardiac Magnetic Resonance - Prospective Validation
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Adult (aged at least 18 years)
You will not qualify if you...
- Children (patients below age 18).
- Pregnant patients.
AI-Screening
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Trial Site Locations
Total: 1 location
1
Imperial College Healthcare NHS Trust
London, United Kingdom
Actively Recruiting
Research Team
J
James P Howard, MB BChir PhD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
DOUBLE
Allocation
RANDOMIZED
Model
CROSSOVER
Primary Purpose
DIAGNOSTIC
Number of Arms
2
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