[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100520842":3},{"organization":4,"outcomesModule":7,"designInfo":17,"detailedDescription":16,"studyPopulation":16,"armGroups":26,"interventions":36,"overallOfficials":42,"centralContacts":46,"locations":51,"responsibleParty":68,"collaborators":70,"id":78,"slug":16,"hasResults":79,"nctId":80,"briefTitle":81,"officialTitle":81,"acronym":82,"eligibilityCriteria":83,"healthyVolunteers":84,"sex":85,"minAge":86,"maxAge":16,"enrollmentInfo":87,"targetDuration":16,"studyType":90,"phases":91,"briefSummary":93,"conditions":94,"keywords":16,"overallStatus":54,"whyStopped":16,"lastUpdateSubmitDate":97,"lastUpdatePostDateStruct":98,"startDateStruct":101,"completionDateStruct":103,"leadSponsor":105,"locationsCount":106},{"fullName":5,"class":6},"Imperial College London","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":16,"otherOutcomes":16},[9,13],{"measure":10,"description":11,"timeFrame":12},"Time taken to acquire images","The time taken in seconds from the beginning of the planning process, until the last planned images has been fully acquired.","During the MRI scan",{"measure":14,"description":15,"timeFrame":12},"Image quality","Quality of acquired images (AI-planning versus radiographer planning) assessed by level 3 cardiac MRI accredited doctors, by asking them to choose whether (a) the AI-acquired image is of higher diagnostic quality, (b) the radiographer-acquired image is of higher diagnostic quality, or (c) the AI- and radiographer-acquired images are of identical diagnostic quality.",null,{"allocation":18,"interventionModel":19,"interventionModelDescription":16,"primaryPurpose":20,"observationalModel":16,"timePerspective":16,"maskingInfo":21},"RANDOMIZED","CROSSOVER","DIAGNOSTIC",{"masking":22,"maskingDescription":16,"whoMasked":23},"DOUBLE",[24,25],"PARTICIPANT","OUTCOMES_ASSESSOR",[27,32],{"label":28,"type":29,"description":16,"interventionNames":30},"AI-planned images acquired","EXPERIMENTAL",[31],"Diagnostic Test: AI-assisted cardiac magnetic resonance imaging",{"label":33,"type":34,"description":16,"interventionNames":35},"Radiographer-planned images acquired","ACTIVE_COMPARATOR",[31],[37],{"type":38,"name":39,"description":40,"armGroupLabels":41,"otherNames":16},"DIAGNOSTIC_TEST","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.",[28,33],[43],{"name":44,"affiliation":5,"role":45},"James P Howard, MB BChir PhD","PRINCIPAL_INVESTIGATOR",[47],{"name":44,"role":48,"phone":49,"phoneExt":16,"email":50},"CONTACT","+44 207 594 5735","james.howard1@imperial.ac.uk",[52],{"facility":53,"status":54,"city":55,"state":16,"zip":16,"country":56,"countryCode":57,"cosmosGeoPoint":58,"geoPoint":63,"contacts":64},"Imperial College Healthcare NHS Trust","RECRUITING","London","United Kingdom","UK",{"type":59,"coordinates":60},"Point",[61,62],-0.12574,51.50853,{"lat":62,"lon":61},[65,67],{"name":44,"role":48,"phone":66,"phoneExt":16,"email":50},"+447841124459",{"name":44,"role":45,"phone":16,"phoneExt":16,"email":16},{"type":69,"investigatorFullName":16,"investigatorTitle":16,"investigatorAffiliation":16,"oldNameTitle":16,"oldOrganization":16},"SPONSOR",[71,73,76],{"name":72,"class":6},"British Heart Foundation",{"name":74,"class":75},"Medical Research Council","OTHER_GOV",{"name":77,"class":6},"Rosetrees Trust","100520842",false,"NCT06061822","Artificial Intelligence Delivered Cardiac Magnetic Resonance - Prospective Validation","AID-MR","Inclusion Criteria:\n\n* Adult (aged at least 18 years)\n\nExclusion Criteria:\n\n* Children (patients below age 18).\n* Pregnant patients.",true,"ALL","18 Years",{"count":88,"type":89},150,"ESTIMATED","INTERVENTIONAL",[92],"NA","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.\n\nThe investigators believe they can revolutionise CMR, by using artificial intelligence to automatically position the views so radiographers can focus on more difficult tasks.\n\nThe 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.\n\nIn 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.\n\nThe investigators will then compare, within each patient, the AI-planned and expert-radiographer-planned scanning in terms of both speed and image quality.",[95,96],"Cardiovascular Diseases","Healthy Volunteers","2026-05-06",{"date":99,"type":100},"2026-05-11","ACTUAL",{"date":102,"type":100},"2026-05-01",{"date":104,"type":89},"2027-12-01",{"name":5,"class":6},1]