Imperial College London
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.
Cardiovascular Diseases
Healthy Volunteers
AI-assisted cardiac magnetic resonance imaging
NA
| Study Type : | INTERVENTIONAL |
| Estimated Enrollment : | 150 participants |
| Masking : | DOUBLE |
| Primary Purpose : | DIAGNOSTIC |
| Official Title : | Artificial Intelligence Delivered Cardiac Magnetic Resonance - Prospective Validation |
| Actual Study Start Date : | 2025-03-01 |
| Estimated Primary Completion Date : | 2027-12-01 |
| Estimated Study Completion Date : | 2027-12-01 |
Information not available for Arms and Intervention/treatment
| Ages Eligible for Study: | 18 Years |
| Sexes Eligible for Study: | ALL |
| Accepts Healthy Volunteers: | 1 |
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