[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"University in Zielona Góra\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":50},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":22,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":30,"overallStatus":37,"whyStopped":4,"lastUpdateSubmitDate":38,"lastUpdatePostDateStruct":39,"startDateStruct":42,"completionDateStruct":44,"leadSponsor":46,"locationsCount":49},"100560985","multimodal-cardiac-imaging-registry-in-patients-with-atrial-fibrillation-100560985",false,"NCT06584266","Multimodal Cardiac Imaging Registry in Patients with Atrial Fibrillation","Multimodal, Multicentre Registry of Clinical and Imaging Data to Develop Predictive Models Based on Artificial Intelligence to Support the Diagnostic and Therapeutic Process for Patients with Atrial Fibrillation Undergoing Catheter Ablation and Cardioversion.","IMAGE-AF","Inclusion Criteria:\n\n\\- All patients with AF or AFl in whom TEE will be performed (to assess their eligibility for cardioversion or ablation), hospitalized in a participating center during study period (all consecutive patients).\n\nExclusion Criteria:\n\nAge\\<18, lack of informed, written consent to the TEE","ALL","18 Years",{"count":20,"type":21},3000,"ESTIMATED","12 Months","OBSERVATIONAL","The goal of this observational registry is to collect a curated dataset of multimodal imaging data that will serve for development of artificial-intelligence based solutions for prediction of risk and outcomes in patients with atrial fribrillation.\n\nType of study: observational study\n\nStudy Participants: Patients with atrial fibrillation or atrial flutter who undergo clinically indicated transesophageal echocardiography before catheter ablation or cardioversion.\n\nWe hypothesize, that automatic analysis of video images of transthoracic echocardiography with deep learning combined with clinical data can predict the presence of left atrial appendage thrombus (LAT). Therefore, our main aim is to create and validate an artificial intelligence model to predict the presence of LAT based on automatic analysis of transthoracic echocardiography with artificial intelligence.",[26,27,28,29],"Atrial Fibrillation and Flutter","Heart Failure","Artificial Intelligence (AI)","Echocardiography",[31,32,33,34,35,36],"artificial intelligence","left atrial thrombus","transesophageal echocardiography","left atrial appendage thrombus","ablation","left atrial function","RECRUITING","2024-08-31",{"date":40,"type":41},"2024-09-04","ACTUAL",{"date":43,"type":41},"2024-01-01",{"date":45,"type":21},"2027-09",{"name":47,"class":48},"University in Zielona Góra","OTHER",7,""]