Artificial Intelligence Delivered Cardiac Magnetic Resonance - Prospective Validation
NCT ID: NCT06061822
Last Updated: 2025-08-22
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
150 participants
INTERVENTIONAL
2025-09-09
2027-12-01
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
CROSSOVER
DIAGNOSTIC
DOUBLE
Study Groups
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AI-planned images acquired
AI-assisted cardiac magnetic resonance imaging
An AI algorithm will be used to automatically position (plan) the scan planes used in a cardiac MRI scan. The resultant images will be compared with standard radiographer-positioned images.
Radiographer-planned images acquired
AI-assisted cardiac magnetic resonance imaging
An AI algorithm will be used to automatically position (plan) the scan planes used in a cardiac MRI scan. The resultant images will be compared with standard radiographer-positioned images.
Interventions
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AI-assisted cardiac magnetic resonance imaging
An AI algorithm will be used to automatically position (plan) the scan planes used in a cardiac MRI scan. The resultant images will be compared with standard radiographer-positioned images.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Pregnant patients.
18 Years
ALL
Yes
Sponsors
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British Heart Foundation
OTHER
Medical Research Council
OTHER_GOV
Rosetrees Trust
OTHER
Imperial College London
OTHER
Responsible Party
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Principal Investigators
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James P Howard, MB BChir PhD
Role: PRINCIPAL_INVESTIGATOR
Imperial College London
Locations
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Imperial College Healthcare NHS Trust
London, , United Kingdom
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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23HH8238
Identifier Type: -
Identifier Source: org_study_id
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