AID-MR PROSPECTIVE
Research type
Research Study
Full title
Artificial intelligence delivered cardiac magnetic resonance - prospective validation
IRAS ID
326798
Contact name
James P Howard
Contact email
Sponsor organisation
Imperial College London
Clinicaltrials.gov Identifier
Duration of Study in the UK
4 years, 0 months, 1 days
Research summary
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.
We believe we can revolutionise CMR, by using artificial intelligence to automatically position the views so radiographers can focus on more difficult tasks.
We have used a retrospective database of pseudonymised (anonymised and linked) CMR scans at our hospital to create these artificial intelligence (AI) algorithms, and we have validated them prospectively on previous studies. We now wish to test them prospectively.
In this study, we will recruit patients undergoing clinical CMR scans. In addition to the routine images acquired by expert radiographers, we will require a duplicate set of images, positioned and planned by the AI algorithms.
We will then compare, within each patient, the AI-planned and expert-radiographer-planned scanning in terms of both speed and image quality.
REC name
South East Scotland REC 02
REC reference
23/SS/0095
Date of REC Opinion
19 Sep 2023
REC opinion
Further Information Favourable Opinion